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https://finnhub.io/api/news?id=2c15b6878b210b36fd56f8d0a68c753b24ac074cb346f4c4d1e37bf6fabb5c5f | China Can’t Win Its Chip War Against U.S. Here’s Why. | The country can’t do anything substantive to reciprocate because it is too far behind and needs the latest Western technologies. | 2023-04-05T08:41:00 | MarketWatch | This article is from the free weekly Barron’s Tech email newsletter. Sign up here to get it delivered directly to your inbox.
Paper Dragon. Hi, everyone. China is striking back at America in the global battle for semiconductors. After the Biden administration blocked China’s ability to buy powerful artificial intelligence chips and advanced chip-making equipment last year through additional export controls, the Asian country recently has decided to retaliate against U.S. companies.
But the bark may be worse than the bite. While the moves have generated a lot of attention, there isn’t much more China can do against Silicon Valley. The country can’t do anything substantive to reciprocate because it is too far behind and needs the latest Western technologies.
Last Friday, the Cyberspace Administration of China said it had launched a review of Micron Technology (ticker: MU) products on national security grounds. It said it would analyze the chip maker’s semiconductors to see if there were network security risks. On Tuesday, The Wall Street Journal also reported that Chinese regulators have slowed down the merger approval process on pending acquisitions by U.S. companies.
Micron, a leader in the memory chip market, said it is fully cooperating with China and stands by the security of its products.
“Micron is [the] first hit by China’s retaliation in the silicon war,” New Street Research analyst Pierre Ferragu wrote on Monday. “China can afford to take a strong position against Micron with minimal supply risks.”
The company is a unique case because of the commoditized nature of its products. For example, the analyst says China can easily buy similar memory chips from Korea-based manufacturers such as SK Hynix and Samsung.
While there may be some risk in the smartphone area, Ferragu doesn’t think China can add sanctions to other more advanced chips beyond the ones for memory and mobile phones.
Maintaining access to advanced semiconductors has become the center of global geopolitics. Chips are the critical enablers of vital applications, from defense systems to the cloud-computing services corporations use to run their businesses. The strategic importance of chips to maintain military capability and economic security can’t be understated.
Following China’s probe into Micron, some outlets presented simplistic narratives that the action could be bad for other U.S. chip makers with large revenue exposure to China. Reality is more nuanced.
China’s ability to retaliate is limited because American companies dominate the market for logic chips that are required to process data. Logic chips are much harder to design and manufacture than memory chips.
There are two types of logic chips: central processing units (CPUs) that act as the main computing brains for PCs/servers, and graphics processing units (GPUs) that are used for gaming and AI applications.
Intel (INTC), Advanced Micro Devices (AMD), and Apple (AAPL) are the leaders in the CPU processor market, while Nvidia (NVDA) and AMD (AMD) account for the vast majority of the GPU segment. These American CPUs and GPUs are irreplaceable, and China has essentially no supply alternatives.
It means concerns of a severe crackdown against other leading U.S. chip suppliers may be overblown.
“We expect China to remain reliant on Western vendors for years to come,” Ferragu wrote.
If China wants to inflict pain and escalate tensions, it may need to move against consumer-oriented American corporations selling products within its borders, such as Starbucks or Nike. But that has other issues with a potential negatives on China’s economy and workers.
We can expect more grumbling and noise from China over semiconductors but little actual impact. Simply put, the U.S. holds all the chips.
This Week in Barron’s Tech Coverage
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- The Battle Over TikTok Is Just Starting
- Lyft Has Struggled Since the Pandemic. A CEO Change May Not Be Enough.
- TikTok Still Rules Gen Z, but Instagram Makes Some Gains, Survey Shows
- Activision Stock Is Too Cheap: Analysts. They Expect Sale to Microsoft to Close.
Write to Tae Kim at [email protected] or follow him on Twitter at @firstadopter | NVDA |
https://finnhub.io/api/news?id=c2353bbb0130d1cbfcb57f124dd1d8fc3b12ad8fa488914556a4ccdfbb55e2e5 | Nvidia's Robust Growth: Riding The AI Wave | Nvidia has seen a 70% increase in value YTD, driven by AI advancements and a unique approach to sustainability Click here for our current view of NVDA. | 2023-04-05T07:48:28 | SeekingAlpha | Nvidia's Robust Growth: Riding The AI Wave
Summary
- Nvidia Corporation has experienced a 70% increase in value YTD, driven by AI advancements and its unique approach to sustainability and workload acceleration.
- The widespread adoption of generative AI and digitalization supports our bullish thesis on Nvidia's robust and visible growth prospects.
- Despite elevated valuations, maintaining a long position in Nvidia could prove fruitful as AI gains prominence and investors establish positions in the company, although competition risks should not be overlooked.
At the beginning of the year, we published an optimistic piece suggesting that ChatGPT would serve as a driving force for Nvidia Corporation (NASDAQ:NVDA) expansion. We are delighted to report that, in line with our predictions, NVDA stock has seen roughly a 50% increase in value since then. In response to numerous recent developments and a substantial shift in the stock's valuation, many readers have asked for an update. We are eager to deliver this update in the present article, as well as a comprehensive account of Nvidia's distinct story, which bolsters our bullish stance that Nvidia possesses one of the most robust and visible growth outlooks of any company we have encountered.
NVIDIA's Unique Advantage
For the first time in history, general-purpose computing (CPUs) can no longer provide the necessary throughput without a corresponding increase in cost or power. In our view, this inability to reduce power consumption or cost-effectively presents a significant challenge for the world to sustain increasing workloads while maintaining the sustainability of computing.
Sustainability has emerged as one of the most critical factors in computing today. It is essential to accelerate all possible workloads to reclaim power and invest it back into growth. The first step is to minimize power wastage and accelerate as many tasks as possible while prioritizing sustainability. Examples of workloads demonstrate that, in many cases, applications can be accelerated by from 40x to 100x while simultaneously reducing power consumption by an order of magnitude and decreasing costs by a factor of 20.
However, implementing this approach is not simple. Accelerated computing presents a full-stack challenge, and Nvidia's accelerated computing encompasses the entire stack, from architecture and system to system software, acceleration libraries, and the applications on top. We believe that Nvidia's data center-scale computing architecture is uniquely positioned to address this challenge.
One of the key benefits of accelerated computing is its ability to scale up and out, providing million-x acceleration factors to various application domains, including the crucial area of artificial intelligence. Nvidia's accelerated computing platform is multidomain, enabling it to process multiple types of applications, from particle physics and fluid dynamics to robotics, artificial intelligence ("AI"), computer graphics, image processing, and video processing. By accelerating all these domains, NVIDIA can reduce power consumption and costs significantly.
The openness, reach, and acceleration capabilities of NVIDIA's platform have created a virtuous cycle of accelerated computing, marking the arrival of accelerated computing and artificial intelligence. Based on our research, we believe that NVIDIA's comprehensive approach to tackling the challenges of sustainability and workload acceleration places it among the companies with the strongest and most visible growth prospects in the industry.
Dawn of Artificial Intelligence
Over the past decade, foundational work has led to significant breakthroughs in computer vision and perception, resulting in industrial revolutions within autonomous vehicles, robotics, and similar fields. This was just the tip of the iceberg. The emergence of generative AI has propelled artificial intelligence beyond mere perception and into the realm of information generation. This new capability allows AI to not only understand the world but also make recommendations and create valuable content. We believe that generative AI has initiated an inflection point in artificial intelligence, driving its widespread adoption globally and causing a step-function increase in the volume of inference deployed across the world's clouds and data centers.
We believe that a key driver of the demand for Nvidia platforms is generative AI. The Hopper launch, featuring a transformer engine specifically designed for large language models and foundation models, generated considerable excitement. The transformer engine has proven immensely successful, with Hopper being adopted by nearly every cloud service provider and available through OEMs. The surge in Hopper demand compared to previous generations signifies an inflection point for AI, as it transitions from research to deployment across global industries. Importantly, this shift also represents a considerable step-function increase in the inference of AI models.
Generative AI has caused a step-function increase in the volume of inference workloads. This development is crucial as inference workloads emerging from data centers demand acceleration and multimodal capabilities, handling a variety of workload types. For instance, AI may need to apply inference to video, images, or text, each with their distinct characteristics. In a cloud data center, we believe it would be ideal to have specialized accelerators for each modality or diverse generative AI workload, which should drive demand for Nvidia's semiconductors.
Based on our research, we believe that the developments in generative AI and digitalization, along with the successful adoption of Hopper, support our bullish thesis that Nvidia holds one of the strongest and most visible growth prospects in the market.
Financials & Valuation
Nvidia's financial performance in fiscal year 23 (ending January) reveals a significant slowdown in the company's growth rate. The challenging comparisons in video games and data centers from previous years, coupled with the decline of the cryptocurrency market, have caused sales for FY23 to increase by a mere 0.1%, in stark contrast to the 61.4% increase experienced in the previous year. The main culprit behind this stagnation is a projected 30% year-over-year decline in the gaming segment, which has been the most affected by cryptocurrency.
Nvidia's operating margins have contracted, as the company's operating expenses increased at a faster pace than its revenue growth. This has resulted in a 14% decrease in operating margins to 33.3% in FY23, which in turn has led to a projected 26% drop in earnings per share for the same period.
Due to a slowing economic climate and uncertainty surrounding end market demand, consensus projections for FY24 remain cautious. Sales growth is estimated to be 10.8%, revised upwards from the 8.3% consensus estimate when we wrote our January Nvidia article, and earnings per share are expected to recover to $4.49, revised upwards from $4.39 in January. However, this is still only about the same as the FY22 EPS of $4.44, despite massive demand coming from AI. We believe there is potential for Nvidia to surpass these upwardly revised but still conservative estimates, given the escalating competition among tech giants in the field of AI and the reliance on Nvidia's GPUs for processing AI workloads.
In January 2023, Nvidia experienced a significant rally of 43%, and skepticism surrounded the sustainability of its valuation. However, Nvidia is now up 92% year-to-date, with market recognition of the opportunity presented by ChatGPT and the broader shift towards riskier assets likely playing a major role. During the same period, Tesla, Inc. (TSLA) experienced a rally of 78% and Bitcoin (BTC-USD) saw a rally of 70%. We believe that a large portion of NVIDIA's rally is driven by the repricing of risk assets due to moderating interest rate hike concerns, and that NVIDIA's excess return relative to these risk assets has been modest. In our view, NVIDIA's fundamental growth prospects have significantly improved, while those of other risk assets have not.
Based on our analysis, Nvidia is currently trading at 58 times its forward 12-month earnings per share (EPS). This valuation is towards the upper end of its 10-year range, with an all-time high of 65.5 times reached in November 2021 during the peak of the tech bubble. In comparison, when we pitched the stock in January, it was trading at a more attractive 45.5 times forward EPS, which made the investment case much clearer than it is today.
Despite the elevated valuation, we will maintain our long position in Nvidia without adding to it at these levels. We believe that many investors are underexposed to Nvidia and, by extension, underexposed to the greatest technological trend of the century - artificial intelligence (AI). As AI continues to gain prominence, we expect these investors will be compelled to establish positions in Nvidia, which in turn should drive demand for the stock, especially as earnings estimates are revised higher, which would reduce the earnings multiple.
Risks
While we maintain a positive outlook on Nvidia's prospects as a major player in the AI space, we acknowledge that investing always carries some degree of risk.
One concern we have is the potential for increased competition as AI becomes more critical and Nvidia's profits continue to grow. Specifically, we are apprehensive about competition from China, a country with vast technical resources, a significant semiconductor market, and a political motivation to establish a domestic supply in response to US government technology restrictions.
For instance, Chinese GPU developer Moore Threads has recently raised $215.4 million in Series B funding to support its ongoing research and development of multi-functional GPUs. This funding signifies investors' confidence in the potential of Chinese GPU development, fueled by the country's demand for AI/ML accelerators and graphics processors for gaming. Since its inception in late 2020, Moore Threads has launched two graphics processors compatible with its MUSA computing platform: Sudi and Chunxiao, along with multiple add-in-boards built around that base design. These multi-functional GPUs target various industries, including gaming, cloud computing, AI/ML, FP32 high-performance computing, and virtual desktop infrastructure, allowing Moore Threads to attract investors from diverse backgrounds.
Another potential source of competition is the development of AI chips by tech giants themselves. Google, for example, has announced a processor specifically designed for enhanced imaging and machine learning capabilities. The company has highlighted the chip's ability to efficiently perform tasks such as real-time language translation for captions, offline text-to-speech, image processing, and other machine learning-based functions like live translation and captions. This development suggests that tech giants may increasingly opt to create their own AI solutions, potentially encroaching on Nvidia's market share.
Conclusion
Despite Nvidia Corporation's elevated valuation, we will maintain our long position without adding to it at these levels. We believe that many investors are underexposed to Nvidia and, consequently, the greatest technological trend of the century - artificial intelligence. As AI gains prominence, we expect investors to establish positions in Nvidia, driving demand for the stock and potentially reducing the earnings multiple as estimates are revised higher. However, we must also consider the risks of increased competition from countries like China and tech giants developing their own AI chips, which could pose challenges for Nvidia's market share.
This article was written by
Analyst’s Disclosure: I/we have a beneficial long position in the shares of NVDA either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
Comments (39)
- 2x sequential quarters of significant negative growth.
- AI Hype
- 5% interest rates
- Recession coming No bueno. Maybe if growth was 60-70% YoY, but not negative 16 and 20%. Big no bueno. You would be crazy to not take profits here and buy in at let’s just say maybe 15x sales which is still insane.
Does NVDA have their own foundry, or do they use Taiwan? Oof, yup, red flag 2.
Ok, let’s switch focus, because if they can make money on AI, disregarding red flag 1 and 2, we can ignore those, and all’s well that ends well. Do they make money from AI? No? Not yet? Ok, when will they generate these buzz-worthy profits? Next quarter? No? Uh… next year? Also, no? Ooof. Hopefully maybe in a couple of years, maybe longer? Humongous (I love using this word) red flag number 3? Yikes!Ok, so maybe this AI, AI, AI that I heard incessantly on their earnings call is just buzz and fuzz, to create interest. Seriously, I lost count how many times they mentioned AI. I now retch (and buy another put contract) every time I hear AI. Maaaaybe their core business is doing well and good; this is just what they hope to delve into, in the future. Uh, nope. Their sales are bad? Red flag 4. Their future outlook on sales and earnings are grim? RED FLAG 5. Guys, please, I’m tired of beating this. NVDA is a good company and they USED to make good products people spent money on. That’s changed recently. Do I believe in a future for AI? Yes, but that future is still yet to come.NVDA DESPERATELY needs something to prop up their core business’ grim near future outlook. When earnings come, they will disappoint, i hazard a word: stun, stun investors. Do not get caught with your pants’ down on another mangy dog from Cramer.~~~ If you’ve been in NVDA for the past 3 months, you’ve made 88% gains, my advice: Take that money and run, before reality claws it all back in a quick fury. Best of luck, neighbor, I wish you all profits and a happy life!
History nod: RIP Bonus Army, real heroes of America, used, abused, disabled and spat out. | NVDA |
https://finnhub.io/api/news?id=0d85261bcde3b705c8802eae5e369f7fb28d84657ff37e0706a541102f5992c0 | Google chip manufacturing takes aim at Nvidia's generative A.I. | CNBC's Deirdre Bosa joins 'Power Lunch' to discuss Google's competitive stance against Microsoft and Nvidia's A.I. capacity, the A.I arms race underway, and onshoring chip production. | 2023-04-05T07:46:30 | CNBC | Credit Cards
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https://finnhub.io/api/news?id=f8988b6165ef49ad72d85a0761796474e68c30a3830bfa62407ef8b4606aafe2 | Ex-Intel chief architect explores data center deals for AI startup in India | Intel Corp's former chief architect Raja Koduri is in talks with Hiranandani-backed data center operator Yotta for a deal for his generative artificial intelligence startup, which he said will have a big presence in India. | 2023-04-05T07:17:03 | Reuters | Ex-Intel chief architect explores data center deals for AI startup in India
BENGALURU, April 5 (Reuters) - Intel Corp's (INTC.O) former chief architect Raja Koduri is in talks with Hiranandani-backed data center operator Yotta for a deal for his generative artificial intelligence startup, which he said will have a big presence in India.
His yet-to-be-named firm would either partner or acquire Yotta, which has data centers in the cities of Mumbai and Noida, said Koduri, whose aim is to challenge Nvidia Corp's (NVDA.O) grip on the digital movie and video game markets.
The company is likely to be launched by the end of the year and will provide AI tools to creators including game designers and film industry workers, the Indian-American executive said in an interview to Reuters.
"These days if you breath you're competing with Nvidia because they have entered every space, everything, so you have no option but to compete against," he said on the sidelines of a conference in Bengaluru, dubbed India's Silicon Valley for its tech firms and startups, on Wednesday.
Koduri, who has worked on nearly two dozen generations of computer graphics chip, plans to build local data centers to ease the access to massive computing power needed for generative AI tools.
Generative AI refers to technology such as ChatGPT that can use prompts to whip up haikus, essays and images.
The data center plan, however, will face challenges from unstable power, shortage of skilled labor and the lack of clear policy from state and central governments.
The southern state of Karnataka and Telangana have been "very supportive", he said, adding that subsidies on electricity will be crucial as data centers are power guzzlers.
Koduri did not disclose how many people his firm would employ, but said "a ton" would be hired from the southern cities of Bengaluru and Hyderabad.
He is also joining the board of AI chip startup Tenstorrent, led by veteran chip architect Jim Keller, who led the design of Tesla's (TSLA.O) self-driving chip in 2016.
Tenstorrent uses open-source technology RISC-V to build its chips.
Our Standards: The Thomson Reuters Trust Principles. | NVDA |
https://finnhub.io/api/news?id=ec2e82a075d0078cf1ff08bbd24a9e60c0e4e1fdb6467ffeb3792c8f39b01b79 | Google's Bard Vs. Microsoft Backed ChatGPT - What It Takes To Train AI | Alphabet Inc (NASDAQ: GOOG) (NASDAQ: GOOGL) Google on Tuesday elaborated on the supercomputers it uses to train its artificial intelligence models. Google said the systems are faster and more power-efficient than comparable systems from Nvidia Corp (NASDAQ: NVDA), Reuters reports. It has designed its custom chip called the Tensor Processing Unit, or TPU which serves more than 90% of the company's work on AI training, feeding data through models to respond to queries with human-like text or gener | 2023-04-05T07:04:24 | Yahoo | Google's Bard Vs. Microsoft Backed ChatGPT - What It Takes To Train AI
Alphabet Inc (NASDAQ: GOOG) (NASDAQ: GOOGL) Google on Tuesday elaborated on the supercomputers it uses to train its artificial intelligence models.
Google said the systems are faster and more power-efficient than comparable systems from Nvidia Corp (NASDAQ: NVDA), Reuters reports.
It has designed its custom chip called the Tensor Processing Unit, or TPU which serves more than 90% of the company's work on AI training, feeding data through models to respond to queries with human-like text or generating images. The Google TPU is now in its fourth generation.
Google detailed how it has strung over 4,000 chips into a supercomputer using its custom-developed optical switches to help connect individual machines.
The company's Bard and Microsoft Corp (NASDAQ: MSFT) backed OpenAI's ChatGPT intensified competition among companies that build AI supercomputers as the so-called large language models that power the technologies have exploded in size.
Google trained its largest publicly disclosed language model to date, PaLM, by splitting it across two of the 4,000-chip supercomputers over 50 days.
Google said that its chips are up to 1.7 times faster and 1.9 times more power-efficient for comparably sized systems than a system based on Nvidia's A100 chip.
Google hinted at working on a new TPU that would compete with the Nvidia H100, with Google Fellow Norm Jouppi telling Reuters that Google has "a healthy pipeline of future chips."
In March, Microsoft disclosed hunting out ways to string together tens of thousands of Nvidia's A100 graphics chips, the workhorse for training AI models.
OpenAI needed access to complete cloud computing services for long periods as it tried to train an increasingly large set of AI programs called models.
Microsoft executive vice president Scott Guthrie said it cost Microsoft over several hundred million dollars.
It is already at work on the next generation of the AI supercomputer, part of an expanded deal with OpenAI in which Microsoft added $10 billion.
Microsoft is adding the latest Nvidia graphics chip for AI workloads, the H100, and the newest version of Nvidia's Infiniband networking technology to share data even faster.
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This article Google's Bard Vs. Microsoft Backed ChatGPT - What It Takes To Train AI originally appeared on Benzinga.com
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© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved. | NVDA |
https://finnhub.io/api/news?id=1161fcf8673ac1367744e329ee46e6835963cb78fe91b49e376aecf2ff291878 | 2 Stocks That Outperformed the S&P During the Great Recession (and 2 That Bombed) | You can potentially lessen your losses in a downturn by shifting to businesses providing essential products or services. | 2023-04-05T07:00:00 | Yahoo | 2 Stocks That Outperformed the S&P During the Great Recession (and 2 That Bombed)
You can potentially lessen your losses in a downturn by shifting to businesses providing essential products or services.
You can potentially lessen your losses in a downturn by shifting to businesses providing essential products or services.
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As a pandemic-inspired boom ends, entrepreneurs and giant corporations alike are counting on customers to keep accumulating more stuff than they can squeeze into their homes. | NVDA |
https://finnhub.io/api/news?id=180896ff6451ee441b4856ca9b89347563bc6cc670a41892529ff76c8365c155 | Apple, Intel, and Nvidia Stock: Breaking Down the Latest Semiconductor Updates | Have Apple and Nvidia indicated to investors that the bottom in consumer electronic spending has passed? | 2023-04-05T06:48:37 | Yahoo | Apple, Intel, and Nvidia Stock: Breaking Down the Latest Semiconductor Updates
Have Apple and Nvidia indicated to investors that the bottom in consumer electronic spending has passed?
Have Apple and Nvidia indicated to investors that the bottom in consumer electronic spending has passed?
Mark Spitznagel and Nassim Taleb have been watching for black swans for decades. "We’ve never seen anything like this level of total debt and leverage in the system," he tells Fortune. "It's an experiment."
Warren Buffett is undeniably the most famous and influential investor in modern history, based on his extraordinary performance record. Not surprisingly, the investment portfolio of Berkshire Hathaway Inc. (BRK.A), the holding company employing the Oracle of Omaha as chairman and CEO, receives wide media attention and scrutiny, even though Buffett is no longer making every investment decision. Despite his unparalleled success, Buffett's investment model has long been transparent, straightforward, and consistent.
Stocks have blown past expectations for 2023 – but some analysts are bracing for a sell-off as the market approaches record highs.
The JPMorgan Equity Premium Income ETF’s (NYSEARCA:JEPI) combination of high yield and monthly payments has quickly made it one of the market’s most popular ETFs. Investors who like JEPI’s style now have another high-yield competitor to consider — the NEOS S&P 500 High Income ETF (BATS:SPYI), which also pays on a monthly basis and yields 10.7%. Let’s take a closer look at this intriguing new option for high-yield investors. What is SPYI ETF’s Strategy? Launched in August of 2022, SPYI is still a
Just because you retire doesn't mean you have to stop working. And when work is an option rather than a requirement, it's possible to select a low-stress job that multiplies fulfillment without adding anxiety - but still provides a bit … Continue reading → The post 12 Low-Stress Jobs You Can Do in Retirement appeared first on SmartAsset Blog.
Berkshire Hathaway historically reports its quarterly financial results on weekends, and CEO Warren Buffet has a simple reason why. Berkshire (ticker: BRK.A, BRK.B) reported second-quarter earnings Saturday morning. Many other public companies, however, release their earnings results during the trading week, either before the market opens or after the closing bell.
The market rally is at an infection point after notable losses. Here's what to do. Warren Buffett's Berkshire earnings rose.
Is there a point at which I should stop reinvesting stock dividends and invest the money or save the cash? -Anonymous Many financial experts recommend that you reinvest dividends most of the time – and I'm inclined to agree. The … Continue reading → The post Ask an Advisor: Should I Stop Reinvesting Dividends? appeared first on SmartAsset Blog.
There are many different approaches and strategies for retirement investing that might appeal to you. But how do you tell if a certain strategy works for your situation? When evaluating different approaches, consider how each strategy is put together and … Continue reading → The post Here's How Much to Keep in Stocks, Bonds and Cash in Retirement appeared first on SmartAsset Blog.
The week ahead will feature a crucial inflation report and earnings out of Disney, UPS, and Alibaba as second quarter earnings season winds down.
(Bloomberg) -- Dan Loeb is hardly the first Wall Street titan to lament how meme stock traders have made short selling a perilous endeavor. But that Loeb, who runs the hedge fund Third Point LLC, did so now is what’s interesting.Most Read from BloombergTexas Power Prices to Surge 800% on Sunday Amid Searing HeatNetanyahu Seeks to Change How Judges Are Named, Then Stop RevampChina Embassy Rips ‘Brutal’ Russia Border Incident in Rare MoveThe Most Dangerous Job for Lawyers Is Being on Trump’s Legal
AustralianSuper, one of the world’s largest pensions, halved its Apple stock investment and sold Microsoft stock, while buying shares of Tesla and Nvidia.
One in 6 asset and wealth management companies will be bought or shut down in the next five years, according to a PwC survey of asset managers and institutional investors.
Travel scams are on the rise. Don't be a victim.
Warren Buffett's Berkshire Hathaway operating profit rose by 10%. BRKB stock is just out of buy range.
VZ stock provides a dividend but a buyback has been shelved amid 5G wireless investments. When will revenue growth reaccelerate?
Will generative artificial intelligence boost Palantir stock in the commercial market amid slowing revenue growth for the company?
Retirement account withdrawals not only help you cover basic living expenses, but they also can fund the lifestyle you've always envisioned in your golden years. That money, however, can have unintended tax consequences. Required minimum distributions (RMDs) and other withdrawals … Continue reading → The post Social Security Taxes Can Hit You Hard in Retirement. Here's How to Lower Them appeared first on SmartAsset Blog.
Dubbed the Oracle of Omaha, Warren Buffett is renowned for his simple and frugal lifestyle. Despite being the sixth richest person globally, with a net worth estimated at $117.9 billion, Buffett continues to live in the same modest home in Omaha that he purchased in 1958 for just $31,500. Adjusted for inflation, that amount today would be approximately $328,990.80, a mere 0.000279% of his total net worth. Buffett has consistently ranked the purchase of his home as the third-best investment he ha
As a pandemic-inspired boom ends, entrepreneurs and giant corporations alike are counting on customers to keep accumulating more stuff than they can squeeze into their homes. | NVDA |
https://finnhub.io/api/news?id=f51606ece561ef7e396a6d14cf0a395c89f3e33ecf57c2c3ec0fd21e39b9bb6c | Midday movers: Johnson & Johnson, Conagra, FedEx and more | By Liz Moyer | 2023-04-05T06:48:26 | Yahoo | Midday movers: Johnson & Johnson, Conagra, FedEx and more
By Liz Moyer
Investing.com -- Stocks were mixed on Wednesday after another economic report, this one on private payrolls, came in weaker than expected, stoking concerns about a recession. Here are the midday movers for April 5.
Johnson&Johnson (NYSE:JNJ) shares rose 3.6% after the pharmaceutical maker raised its proposed settlement offer for talc claims to $8.9 billion from $2B. It refiled for bankruptcy for the unit it created to hold the claims. ConAgra Foods Inc (NYSE:CAG) shares rose 3.3% after the packaged food manager of brands such as Reddi Wip and Slim Jim beat expectations in the fiscal third quarter and raised its full-year outlook.
FedEx Corporation (NYSE:FDX) shares rose 1.3% after it announced plans to raise its dividend and also said it would consolidate its businesses into one unit for greater efficiency.
Bed Bath&Beyond Inc (NASDAQ:BBBY) shares fell 6% after the struggling home goods retailer penned a vendor consignment program that is aimed at helping it stock its shelves.
NVIDIA Corporation (NASDAQ:NVDA) shares fell after Alphabet's (NASDAQ:GOOGL) Google offered details about an artificial intelligence supercomputer, calling it faster and more efficient than Nvidia's offerings.
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https://finnhub.io/api/news?id=d96906fca49b6bfd2eed853f7c6c2c116e70e87c816ff403b9c469588538c6cf | Google reveals its newest A.I. supercomputer, says it beats Nvidia | Google's TPU-based supercomputer, called TPU v4, is "1.2x–1.7x faster and uses 1.3x–1.9x less power than the Nvidia A100," Google researchers wrote. | 2023-04-05T06:12:25 | CNBC | - Google published details about its AI supercomputer on Wednesday, saying it is faster and more efficient than competing Nvidia systems.
- While Nvidia dominates the market for AI model training and deployment, with over 90%, Google has been designing and deploying a chip, called Tensor Processing Unit, for artificial intelligence since 2016, partially for internal use.
Google published details about one of its artificial intelligence supercomputers on Wednesday, saying it is faster and more efficient than competing Nvidia systems, as power-hungry machine learning models continue to be the hottest part of the tech industry.
While Nvidia dominates the market for AI model training and deployment, with over 90%, Google has been designing and deploying AI chips called Tensor Processing Units, or TPUs, since 2016.
Google is a major AI pioneer, and its employees have developed some of the most important advancements in the field over the last decade. But some believe it has fallen behind in terms of commercializing its inventions, and internally, the company has been racing to release products and prove it hasn't squandered its lead, a "code red" situation in the company, CNBC previously reported.
AI models and products such as Google's Bard or OpenAI's ChatGPT — powered by Nvidia's A100 chips —require a lot of computers and hundreds or thousands of chips to work together to train models, with the computers running around the clock for weeks or months.
On Tuesday, Google said that it had built a system with over 4,000 TPUs joined with custom components designed to run and train AI models. It's been running since 2020, and was used to train Google's PaLM model, which competes with OpenAI's GPT model, over 50 days.
Google's TPU-based supercomputer, called TPU v4, is "1.2x–1.7x faster and uses 1.3x–1.9x less power than the Nvidia A100," the Google researchers wrote.
"The performance, scalability, and availability make TPU v4 supercomputers the workhorses of large language models," the researchers continued.
However, Google's TPU results were not compared with the latest Nvidia AI chip, the H100, because it is more recent and was made with more advanced manufacturing technology, the Google researchers said.
Results and rankings from an industrywide AI chip test called MLperf were released Wednesday, and Nvidia CEO Jensen Huang said the results for the most recent Nvidia chip, the H100, were significantly faster than the previous generation.
"Today's MLPerf 3.0 highlights Hopper delivering 4x more performance than A100," Huang wrote in a blog post. "The next level of Generative AI requires new AI infrastructure to train Large Language Models with great energy-efficiency.
The substantial amount of computer power needed for AI is expensive, and many in the industry are focused on developing new chips, components such as optical connections, or software techniques that reduce the amount of computer power needed.
The power requirements of AI are also a boon to cloud providers such as Google, Microsoft and Amazon, which can rent out computer processing by the hour and provide credits or computing time to startups to build relationships. (Google's cloud also sells time on Nvidia chips.) For example, Google said that Midjourney, an AI image generator, was trained on its TPU chips. | NVDA |
https://finnhub.io/api/news?id=a9715b2f995c869c3679e642ef01761a512b3537f11ccf49116c93940309d0a1 | Stocks making the biggest moves midday: Nvidia, Palantir, Western Alliance, Johnson & Johnson and more | These are the stocks posting the largest moves in midday trading. | 2023-04-05T05:57:59 | CNBC | Stocks making the biggest moves midday: Nvidia, Palantir, Western Alliance, Johnson & Johnson and more
Check out the companies making headlines in midday trading.
Nvidia – Shares of the chipmaker slid about 3% a day after Google revealed details about its artificial intelligence supercomputer and claimed that, compared to similar systems, it's 1.2-1.7x faster and uses 1.3-1.9x less power than the Nvidia A100.
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Palantir Technologies – Shares of the big data company, known for its many government contracts, fell about 5% after Palantir announced the expansion of its partnership with Microsoft to the public sector from the private sector. This development would give U.S. government customers and industry partners access to enterprise-grade capabilities by Palantir and Microsoft.
Western Alliance — The regional bank stock shed 17% a day after the bank provided an update on its deposit balance, saying that deposits as a percent of the total rose to 68% at the end of March. Western Alliance also said it has enough liquidity to cover the remaining uninsured deposits.
Johnson & Johnson — Shares rose about 3%. The action follows the day after the pharmaceutical giant said it will pay $8.9 billion over the next 25 years to settle allegations that talc in its baby powder and other products caused cancer. J&J, which said it continues to believe the claims lack merit, also refiled for bankruptcy protection for its LTL Management subsidiary.
FedEx — Shares of the shipping giant rose more than 1% after the company announced that it will fold its businesses that move freight and its divisions that offer other services into one organization. The move is viewed as FedEx's effort to cut costs and increase efficiency across its operations.
First Citizens BancShares — First Citizens BancShares rose roughly 3% after UBS double-upgraded the regional bank stock to buy from a sell rating, saying that its acquisition of Silicon Valley Bank assets should foster higher-quality earnings.
Bed Bath & Beyond — Shares of the embattled retailer fell 6% on news that it entered a vendor consignment deal with Hilco Global's ReStore Capital. As part of the agreement, ReStore Capital will buy up to $120 million in merchandise from Bed Bath & Beyond.
UnitedHealth, Cigna — UnitedHealth and Cigna each gained about 3% after Raymond James upgraded both health-care stocks to a strong buy. The firm said the set-up for shares looks more attractive after a valuation resent and improving regulatory backdrop.
Clean Energy Fuels — Shares advanced 1.5% on the back of an upgrade to outperform from market perform by Raymond James. The firm said the stock has a buy-the-dip opportunity.
Albemarle — Shares of the chemicals manufacturing stock lost 6.5% after Bank of America earlier downgraded Albemarle to underperform from neutral. The bank lowered its price target to $195, suggesting the stock could fall about 7% from Tuesday's close.
Conagra Brands — The packaged goods food company rose 3% after topping Wall Street's expectations on the top and bottom lines for the recent quarter, according to FactSet. Conagra also lifted its profit outlook.
MarketAxess – Shares of the electronic trading platform tumbled 11% after Piper Sandler trimmed its first-quarter estimates for per-share earnings. Though MarketAxess reported record total credit volume of $296.3 billion for March, the company's preliminary variable transaction fees per million came in below Piper Sandler's first-quarter estimates.
— CNBC's Michelle Fox, Alex Harring, Yun Li, Pia Singh, Sarah Min and Darla Mercado contributed reporting | NVDA |
https://finnhub.io/api/news?id=d8e79b0a6ce646622fe95833c171643b9c23ab937fe901661c8c8967d5daffb5 | Google takes AIM at Nvidia, claims AI chips are faster, greener | CNBC's Deidre Bosa reports on how Google plans to take on Nvidia and its powerful computer chip business. | 2023-04-05T05:27:26 | CNBC | Credit Cards
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https://finnhub.io/api/news?id=965282c539f5d3cd32e648984a01e1cf1cf7cbdd0108fb0ea1acf6aa5a369efb | Could AI Help Push Nvidia's Market Cap Above $1 Trillion by 2025? | It wasn't all that long ago that Nvidia (NASDAQ: NVDA) stock seemed ordained to join an exclusive group of the most valuable companies on the planet. With numerous secular tailwinds fueling its stratospheric rise, Nvidia seemed destined to join the trillion-dollar club. Can Nvidia continue its trajectory and finally join the ranks of the 13-digit club by 2025? | 2023-04-05T05:20:00 | Yahoo | Could AI Help Push Nvidia's Market Cap Above $1 Trillion by 2025?
It wasn't all that long ago that Nvidia (NASDAQ: NVDA) stock seemed ordained to join an exclusive group of the most valuable companies on the planet. With numerous secular tailwinds fueling its stratospheric rise, Nvidia seemed destined to join the trillion-dollar club. Can Nvidia continue its trajectory and finally join the ranks of the 13-digit club by 2025? | NVDA |
https://finnhub.io/api/news?id=afa38ef21ae800a4b2200185fc127f357ffbbbe58657e02ab478bbcf10e81e03 | Most Active Equity Options For Midday - Wed., April 5 | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T05:18:00 | TalkMarkets | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=092fbcae910e05a44d75790ad3224abd959dabccdba6b27d2ad3b286f3fa3c0c | Most Active Equity Options For Midday - Wednesday, April 5 | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T05:03:00 | TalkMarkets | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
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At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=aa811afe4884d6226574f4b64a27e1d727a106eb1c6e5e567b350bcb357c2749 | Nvidia Shares Drop after Google`s TPU Superiority Claim | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T04:37:00 | TipRanks | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=48fa3aa3972985841b4ec4880cd693f270854f255bd2fdb53b58ebdfeba8beda | St. James Investment Company Value Investor`s Q1 2023 Quarterly Letter | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T04:20:00 | Seeking Alpha | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=56b587cef80988badf7a18a84d0178071b9dfb2b37dd084568982a61c7adb520 | EU to likely strike agreement on Chips Act on April 18, Reuters reports | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T04:02:00 | Thefly.com | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
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https://finnhub.io/api/news?id=382ecd15e8a64e94dec0605bff6794895e06f53bc11d0a9ed3575c49e1f87220 | Google claims AI supercomputer faster, greener than Nvidia`s, Reuters says | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T03:58:00 | Thefly.com | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
Visit www.zacksdata.com to get our data and content for your mobile app or website.
Real time prices by BATS. Delayed quotes by FIS.
NYSE and AMEX data is at least 20 minutes delayed. NASDAQ data is at least 15 minutes delayed.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. | NVDA |
https://finnhub.io/api/news?id=bee285090f1de0154e6253a70c0b8b5964b77c101c758621e25d035ab7f14897 | Largest cryptocurrencies mixed as Ethereum increases | The largest cryptocurrencies were mixed during morning trading on Wednesday, with Ethereum seeing the biggest move, climbing 1.95% to $1,915.55. Dogecoin led... | 2023-04-05T03:00:00 | MarketWatch | The largest cryptocurrencies were mixed during morning trading on Wednesday, with Ethereum Ethereum USD seeing the biggest move, climbing 1.95% to $1,915.55.
Dogecoin Dogecoin USD led the decreases with a 1.79% drop to 10 cents....
The largest cryptocurrencies were mixed during morning trading on Wednesday, with Ethereum Ethereum USD seeing the biggest move, climbing 1.95% to $1,915.55.
Dogecoin Dogecoin USD led the decreases with a 1.79% drop to 10 cents.... | NVDA |
https://finnhub.io/api/news?id=ac3b87799dcf16dc389f4f76fdf74af052b465ed2b54924ecb9699891b3398d8 | AI Could Have a $7 Trillion Impact in 10 Years: Here Are 4 Top Stocks to Buy Now | The Wall Street firm projects that generative AI could enable 300 million jobs globally to be fully automated, with as many as two-thirds of U.S. jobs partially automated by AI. Don't think for a second that Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) will be a second-tier player in AI. The company has invested heavily in AI technology and could be a big winner on multiple fronts. | 2023-04-05T02:52:00 | Yahoo | AI Could Have a $7 Trillion Impact in 10 Years: Here Are 4 Top Stocks to Buy Now
The Wall Street firm projects that generative AI could enable 300 million jobs globally to be fully automated, with as many as two-thirds of U.S. jobs partially automated by AI. Don't think for a second that Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) will be a second-tier player in AI. The company has invested heavily in AI technology and could be a big winner on multiple fronts. | NVDA |
https://finnhub.io/api/news?id=6e4694131621b1f0d0dcfe28b33b376df4aef2f902b9b2bcc6e9bfab33b45bf7 | 3 Growth Stocks Leading the AI Rally | Each of these AI stocks has gained more than 100% since bottoming late last year. Two are still buys. | 2023-04-05T02:39:00 | Yahoo | 3 Growth Stocks Leading the AI Rally
Each of these AI stocks has gained more than 100% since bottoming late last year. Two are still buys.
Each of these AI stocks has gained more than 100% since bottoming late last year. Two are still buys.
Mark Spitznagel and Nassim Taleb have been watching for black swans for decades. "We’ve never seen anything like this level of total debt and leverage in the system," he tells Fortune. "It's an experiment."
Warren Buffett is undeniably the most famous and influential investor in modern history, based on his extraordinary performance record. Not surprisingly, the investment portfolio of Berkshire Hathaway Inc. (BRK.A), the holding company employing the Oracle of Omaha as chairman and CEO, receives wide media attention and scrutiny, even though Buffett is no longer making every investment decision. Despite his unparalleled success, Buffett's investment model has long been transparent, straightforward, and consistent.
Stocks have blown past expectations for 2023 – but some analysts are bracing for a sell-off as the market approaches record highs.
The JPMorgan Equity Premium Income ETF’s (NYSEARCA:JEPI) combination of high yield and monthly payments has quickly made it one of the market’s most popular ETFs. Investors who like JEPI’s style now have another high-yield competitor to consider — the NEOS S&P 500 High Income ETF (BATS:SPYI), which also pays on a monthly basis and yields 10.7%. Let’s take a closer look at this intriguing new option for high-yield investors. What is SPYI ETF’s Strategy? Launched in August of 2022, SPYI is still a
Just because you retire doesn't mean you have to stop working. And when work is an option rather than a requirement, it's possible to select a low-stress job that multiplies fulfillment without adding anxiety - but still provides a bit … Continue reading → The post 12 Low-Stress Jobs You Can Do in Retirement appeared first on SmartAsset Blog.
Berkshire Hathaway historically reports its quarterly financial results on weekends, and CEO Warren Buffet has a simple reason why. Berkshire (ticker: BRK.A, BRK.B) reported second-quarter earnings Saturday morning. Many other public companies, however, release their earnings results during the trading week, either before the market opens or after the closing bell.
The market rally is at an infection point after notable losses. Here's what to do. Warren Buffett's Berkshire earnings rose.
Is there a point at which I should stop reinvesting stock dividends and invest the money or save the cash? -Anonymous Many financial experts recommend that you reinvest dividends most of the time – and I'm inclined to agree. The … Continue reading → The post Ask an Advisor: Should I Stop Reinvesting Dividends? appeared first on SmartAsset Blog.
There are many different approaches and strategies for retirement investing that might appeal to you. But how do you tell if a certain strategy works for your situation? When evaluating different approaches, consider how each strategy is put together and … Continue reading → The post Here's How Much to Keep in Stocks, Bonds and Cash in Retirement appeared first on SmartAsset Blog.
The week ahead will feature a crucial inflation report and earnings out of Disney, UPS, and Alibaba as second quarter earnings season winds down.
(Bloomberg) -- Dan Loeb is hardly the first Wall Street titan to lament how meme stock traders have made short selling a perilous endeavor. But that Loeb, who runs the hedge fund Third Point LLC, did so now is what’s interesting.Most Read from BloombergTexas Power Prices to Surge 800% on Sunday Amid Searing HeatNetanyahu Seeks to Change How Judges Are Named, Then Stop RevampChina Embassy Rips ‘Brutal’ Russia Border Incident in Rare MoveThe Most Dangerous Job for Lawyers Is Being on Trump’s Legal
AustralianSuper, one of the world’s largest pensions, halved its Apple stock investment and sold Microsoft stock, while buying shares of Tesla and Nvidia.
One in 6 asset and wealth management companies will be bought or shut down in the next five years, according to a PwC survey of asset managers and institutional investors.
Travel scams are on the rise. Don't be a victim.
Warren Buffett's Berkshire Hathaway operating profit rose by 10%. BRKB stock is just out of buy range.
VZ stock provides a dividend but a buyback has been shelved amid 5G wireless investments. When will revenue growth reaccelerate?
Will generative artificial intelligence boost Palantir stock in the commercial market amid slowing revenue growth for the company?
Retirement account withdrawals not only help you cover basic living expenses, but they also can fund the lifestyle you've always envisioned in your golden years. That money, however, can have unintended tax consequences. Required minimum distributions (RMDs) and other withdrawals … Continue reading → The post Social Security Taxes Can Hit You Hard in Retirement. Here's How to Lower Them appeared first on SmartAsset Blog.
Dubbed the Oracle of Omaha, Warren Buffett is renowned for his simple and frugal lifestyle. Despite being the sixth richest person globally, with a net worth estimated at $117.9 billion, Buffett continues to live in the same modest home in Omaha that he purchased in 1958 for just $31,500. Adjusted for inflation, that amount today would be approximately $328,990.80, a mere 0.000279% of his total net worth. Buffett has consistently ranked the purchase of his home as the third-best investment he ha
As a pandemic-inspired boom ends, entrepreneurs and giant corporations alike are counting on customers to keep accumulating more stuff than they can squeeze into their homes. | NVDA |
https://finnhub.io/api/news?id=46256b8d0089acc59c25683380506ab6270aa06721168bf2cf8918523cf2497a | Better Growth Stock: Apple vs. Nvidia | Apple became a mammoth in tech because of its dominance in consumer products, while Nvidia profited from increasing demand for its chips. Apple has rallied investors this year with a planned venture into the global XR market, with a new headset projected to launch in 2023. | 2023-04-05T02:04:00 | Yahoo | Better Growth Stock: Apple vs. Nvidia
Apple became a mammoth in tech because of its dominance in consumer products, while Nvidia profited from increasing demand for its chips. Apple has rallied investors this year with a planned venture into the global XR market, with a new headset projected to launch in 2023. | NVDA |
https://finnhub.io/api/news?id=3cf25d2b42cdb9e11c82b9973809764cd9f1456f5b6dee32881e95b3c5408876 | European Union said to be nearing finalized deal on Chips Act this month | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T01:45:00 | Seeking Alpha | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=3ba7ec4fdf2bae32950d985bb179987d2843c5e0ec9459c63d9984976ff7a5d0 | Nvidia slips as Google touts prowess of its own custom chips | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T01:33:00 | Seeking Alpha | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
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https://finnhub.io/api/news?id=8c89e582093da4586a8b17b9f4ec355d32c8864f7203f58c7862f764f8427e18 | European Union said to be nearing finalized deal on Chips Act next month | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-05T01:21:00 | Seeking Alpha | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=108b5d6d7742507ca3ba2550956f235a94cd9ab3dde1e54c6aaaee0134480fda | U.S. Stock Market - Elliott Wave Analysis | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T23:58:00 | TalkMarkets | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=8b16715e290e7f8e9774a152b47b685a660a80458fd339963998ed863a025555 | The Economy May Be Weakening. Here’s What That Means for Interest Rate Hikes. | Johnson & Johnson offers $8.9 billion talc settlement, Trump pleads not guilty at New York arraignment, Nvidia and Micron fall on China chip complaints, and... | 2023-04-04T23:31:00 | MarketWatch | Job openings falling below 10 million for the first time in almost two years feels like a significant moment.
The stock market certainly saw it that way, seemingly ignoring the dovish implications of the data for the Federal Reserve, and focusing instead on concerns over the health of the U.S. economy.
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It may be a sign that the Fed’s aggressive rate hikes are finally having an impact. Earlier this week the Institute for Supply Management’s manufacturing index fell to its lowest level since May 2020, adding weight to that thesis. Friday’s March jobs report will provide more insight into that argument.
That doesn’t necessarily mean an end to high rates is imminent, though. Cleveland Fed President Loretta Mester said Tuesday that the fed funds rate should move above 5%, noting that how long it stays high depends on inflation.
With the data beginning to point to a weakening economy, and Fed officials still talking about higher-for-longer interest rates, it’s no wonder the stock market’s recent rally has stalled.
It’s not all bad news. Walmart reaffirmed its first-quarter and current fiscal quarter guidance, implying that the country’s largest retailer hasn’t seen a significant change in consumer behavior in recent months.
The economic picture is uncertain to say the least, and more evidence is needed before rushing to a judgment on the outlook.
Mester said the Fed will have to monitor a “whole panoply” of data to figure out where the economy is going. Investors will have to do the same.
*** Join MarketWatch personal finance reporter Aarthi Swaminathan today at noon when she speaks with TransUnion’s Margaret Poe. It’s Financial Literacy Month and we’re digging into how credit scores work. We’ll talk about a range of issues -- from what major changes have been made to scoring models, what are the common mistakes people make, and what consumers can do to boost their scores. Sign up here.
Try your hand at this morning’s Barron’s Daily crossword puzzle and sudoku games. For all games, including a digital jigsaw based on the week’s cover story, click here.
***
Johnson & Johnson Offers $8.9 Billion Talc Settlement
Johnson & Johnson announced an $8.9 billion proposed settlement to cover claims that its talcum powder causes cancer and said it would refile for bankruptcy protection for the LTL Management entity that holds the talc claims. The pharmaceutical maker’s stock rose 3% in after-hours trading.
- Johnson & Johnson said the move isn’t a sign it has changed its longstanding position that its talcum powder products are safe. It originally offered $2 billion in 2021, when it established and sought bankruptcy for LTL Management, a move lawyers call a “Texas two-step.”
- The strategy is risky, Carl Tobias, a professor at University of Richmond’s School of Law, told Barron’s. Other consumer product companies have attempted it with limited success. Federal appeals court judges from the third circuit rejected Johnson & Johnson’s arguments in January, which the company vowed to fight.
- Senate and House Democrats also criticized the strategy, saying the company was attempting to deny people their day in court. Johnson & Johnson said its reorganization plan is more equitable and more efficient.
- Tobias told Barron’s that while the latest offer is $6.9 billion higher than the first, Johnson & Johnson may have to go higher. The company “just wants to be out of it,” he said. “The $9 billion is a starting figure. It might not be their ending figure.”
What’s Next: A group of 17 law firms representing nearly 70,000 talc cancer victims said it supports the settlement. If a bankruptcy court and a substantial number of plaintiffs approve, the move could help J&J clear thousands of lawsuits.
—Ben Levisohn and Janet H. Cho
***
Trump Pleads Not Guilty at New York Arraignment
Former President Donald J. Trump pleaded not guilty to 34 felony counts of business fraud in a Manhattan court. The charges stem from a grand jury indictment over hush-money payments to a porn star in the weeks before his election as president.
- Each charge related to falsifying business records of the Trump Organization, including invoices and ledger entries relating to $130,000 in payments to porn star Stormy Daniels. Prosecutors also point to a larger scheme to suppress potentially damaging personal revelations.
- A statement of facts by the prosecutors details other hush-money deals involving the tabloid the National Enquirer. One allegation was over $30,000 the tabloid paid to a former Trump Tower doorman, and the other was $150,000 paid to a former Playboy model Karen McDougal.
- Trump has raised $10 million since the indictment last week, senior aide Jason Miller tweeted on Tuesday, citing Newsmax. Shares of the special purpose entity Digital World Acquisition, which is planning to merge with Trump’s Truth Social, fell 8% in trading on Tuesday.
- In an another development that may affect the next vote for President, Wisconsin liberal Janet Protasiewicz secured victory over conservative Daniel Kelly in the state’s supreme court election, The Associated Press declared. It was the most expensive judicial election in U.S. history and could have implications for abortion rights in the state and any potential challenges to the 2024 election.
What’s Next: “I never thought anything like this could happen in America,” Trump said in a speech from his home at the Mar-a-Lago resort late Tuesday. The judge has set the next hearing date for Dec. 4.
—Liz Moyer and Bill Alpert
***
Nvidia and Micron Fall on China Chip Complaints
China says it will respond if Japan doesn’t change new restrictions on chip exports to the world’s second-biggest economy. Semiconductor stocks slipped in the Wednesday premarket.
- China’s complaint raises the prospect of greater tension between the country and others in a simmering technology Cold War. Nvidia, Intel, Micron, and Qualcomm all retreated in premarket trading.
- On Tuesday, China’s commerce ministry called on Japan to change its “wrong practice” after the country last week said it would restrict 23 kinds of semiconductor manufacturing equipment.
- Japan is aligning itself with the U.S., which has implemented a string of measures to prevent the most advanced chips from being produced in China on concerns they could be used for military purposes.
- China made a formal complaint about the chip restrictions to the World Trade Organization in December.
What’s Next: China said it will take “decisive measures” to protect its interests if Japan refuses to reverse the policy.
***
Tesla Sales Soar in Norway; GM Second in U.S. EV Sales
In the battle for dominance among electric vehicle makers, Tesla is hot in Norway. In March, 87% of new passenger cars registered in March were EVs, officials said, and Tesla sold 41% of new cars registered there in March. Meanwhile, General Motors has become the second-biggest EV seller in the U.S.
- As EVs grow as a percentage of new car sales, Norway is the country EV bulls point to when explaining what’s possible for the market. In Europe, all-battery electric vehicle new car sales were 13% of all sales, compared with 6% in the U.S. in 2022.
- Ford Motor delivered 10,866 EVs in the first quarter, up 40% from the same time last year, but sales are slowing in recent months. GM ousted it from the number two spot it held in the fourth quarter, delivering 20,670 EVs in the U.S. in the first quarter.
- GM said about 5,000 salaried workers and executives have accepted voluntary buyout offers, moving it halfway toward its goal to cut $2 billion in costs by the end of 2024. CFO Paul Jacobson told a Bank of America conference that GM expects to take a charge of about $1 billion this quarter.
- GM said the voluntary buyouts mean that involuntary separations aren’t being considered right now. Employees who took buyout offers would need to leave the company by June 30.
What’s Next: GM plans to produce 400,000 EVs in North America between 2022 and mid-2024, including electric versions of the Chevy Silverado, Blazer, and Equinox this year. Along with the Chevy Bolt, GMC Hummer, and Cadillac Lyriq, they give GM an EV in nearly every segment of the North American auto market.
—Al Root and Janet H. Cho
***
Biden Meets Advisors on AI, Proposes Safety Legislation
President Joe Biden met with technology advisors at the White House to talk about the promises and problems that artificial intelligence raises, including potential risks to society, national security, and the economy. He said tech companies have a responsibility to ensure their products are safe before making them public.
- Biden said it isn’t clear if AI is dangerous, but it “could be.” Social media already illustrates the potential harm powerful technologies can have without useful safeguards in place, he said at the meeting, according to a White House transcript.
- Biden stressed the importance of protecting rights and safety to “ensure responsible innovation” and urged Congress to pass bipartisan privacy legislation to protect children, limit the amount of personal data that tech companies can collect, ban advertising targeting children, and prioritize health and safety in product development.
- Stocks of AI firms started falling before the Tuesday afternoon meeting. Shares of Thailand security firm Guardforce AI fell 32%; data analytics firm BigBear.ai dropped 14%; and conversation intelligence company SoundHound AI sank 12%.
- The Center for Artificial Intelligence and Digital Policy, a tech ethics advocacy group, has asked the Federal Trade Commission to investigate OpenAI and stop it from issuing additional commercial releases of GPT-4, the chatbot that can generate humanlike responses to written requests.
What’s Next: AI software company C3.ai shares fell 26% after the short selling firm Kerrisdale Capital published a letter to the company’s auditors about their accounting and their revenue and margin numbers. C3.ai denied any wrongdoing and said Kerrisdale is misconstruing its financial filings.
—Janet H. Cho and Eric J. Savitz
***
—Newsletter edited by Liz Moyer, Brian Swint, Rupert Steiner and Steve Goldstein | NVDA |
https://finnhub.io/api/news?id=c98e842f9da5cf48e25b82b02f62a3b3483f44d35aa9d0772480f73697ddc91a | ChatGPT and Bard are telling this hedge-fund manager to avoid AI stocks now | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T23:14:00 | MarketWatch | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
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https://finnhub.io/api/news?id=4179205354bde566642286728450278dd46df1e928593daa48987fcd4edd3bad | 3 Thrilling AI Stocks for Aggressive Investors to Buy | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T23:07:00 | InvestorPlace | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
Visit www.zacksdata.com to get our data and content for your mobile app or website.
Real time prices by BATS. Delayed quotes by FIS.
NYSE and AMEX data is at least 20 minutes delayed. NASDAQ data is at least 15 minutes delayed.
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https://finnhub.io/api/news?id=432b1768a8298a151e845320d0f170a72845f6bdd853186ede6659918b8bb44c | Chip Stocks Edge Lower after China Urges Stronger WTO Monitoring of Chip Curbs | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T22:18:00 | TipRanks | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
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At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=e680c546a0fd7c8100df216979015e70f0c64b178bb1255baab7630ab222fd37 | Nvidia, Intel, Micron Stock Fall After China Calls Foul on Japanese Chip Restrictions | Japan was following the U.S. in preventing semiconductor manufacturing equipment from being sent to China. | 2023-04-04T22:05:00 | MarketWatch | Semiconductor makers slipped after China said it will respond if Japan doesn’t change new restrictions on chip exports to the world’s second-biggest economy.
China’s complaint raises the prospect of greater tension between the country and others in a simmering technology Cold War. Nvidia (ticker: NVDA) declined 1%. Intel (INTC) retreated 0.3%, Micron (MU) was down 0.4%, and Qualcomm (QCOM) lost 0.1%.
On Tuesday, China’s commerce ministry called on Japan to change its “wrong practice” after the country last week said it would restrict 23 kinds of semiconductor manufacturing equipment. Japan’s announcement was a step toward aligning itself with the U.S.
read more
“China will take decisive measures to safeguard its rights and interests if Japan insists on obstructing the chip industry cooperation between the two countries,” the ministry said in a statement.
The U.S. has implemented a string of measures to prevent the most advanced chips from being produced in China on concerns they could be used for military purposes, and the U.S. encouraged allies to take similar steps. China made a formal complaint about the chip restrictions to the World Trade Organization in December.
Write to Brian Swint at [email protected] | NVDA |
https://finnhub.io/api/news?id=ea6979fca973ec529aba78c1412ad3332e08018211ff13a2b2a94e3f2482842a | 3 Top Industries to Invest In After the Fed Pause | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T21:03:00 | InvestorPlace | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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https://finnhub.io/api/news?id=f2bb576bda8ca8d36118c81d3819ed1ac398a3c2e5b77c3f59a25e2c013e7e92 | NVDA Stock Alert: Can Google Outpace Nvidia in the AI Chip Race? | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T20:00:00 | InvestorPlace | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
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https://finnhub.io/api/news?id=9c181b0b35116854ac15e998ddf6232b53dfc17ef9c06477c8943ba3f3693c5a | Nvidia`s Robust Growth: Riding The AI Wave | Looking for stock market analysis and research with proves results? Zacks.com offers in-depth financial research with over 30years of proven results. | 2023-04-04T18:50:00 | Seeking Alpha | This page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.
Copyright 2023 Zacks Investment Research | 10 S Riverside Plaza Suite #1600 | Chicago, IL 60606
At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +24.26% per year. These returns cover a period from January 1, 1988 through July 3, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
Visit Performance Disclosure for information about the performance numbers displayed above.
Visit www.zacksdata.com to get our data and content for your mobile app or website.
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NYSE and AMEX data is at least 20 minutes delayed. NASDAQ data is at least 15 minutes delayed.
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https://finnhub.io/api/news?id=d5818459081d6946ce9dca7393f381712e1ca00c30c27ac9d96101a6aaea88b1 | Google says its AI supercomputer is faster, greener than Nvidia A100 chip | Alphabet Inc's Google released on Tuesday new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp. | 2023-04-04T18:36:30 | Reuters | Google says its AI supercomputer is faster, greener than Nvidia A100 chip
April 4 (Reuters) - Alphabet Inc's (GOOGL.O) Google released on Tuesday new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp (NVDA.O).
Google has designed its own custom chip called the Tensor Processing Unit, or TPU. It uses those chips for more than 90% of the company's work on artificial intelligence training, the process of feeding data through models to make them useful at tasks such as responding to queries with human-like text or generating images.
The Google TPU is now in its fourth generation. Google on Tuesday published a scientific paper detailing how it has strung more than 4,000 of the chips together into a supercomputer using its own custom-developed optical switches to help connect individual machines.
Improving these connections has become a key point of competition among companies that build AI supercomputers because so-called large language models that power technologies like Google's Bard or OpenAI's ChatGPT have exploded in size, meaning they are far too large to store on a single chip.
The models must instead be split across thousands of chips, which must then work together for weeks or more to train the model. Google's PaLM model - its largest publicly disclosed language model to date - was trained by splitting it across two of the 4,000-chip supercomputers over 50 days.
Google said its supercomputers make it easy to reconfigure connections between chips on the fly, helping avoid problems and tweak for performance gains.
"Circuit switching makes it easy to route around failed components," Google Fellow Norm Jouppi and Google Distinguished Engineer David Patterson wrote in a blog post about the system. "This flexibility even allows us to change the topology of the supercomputer interconnect to accelerate the performance of an ML (machine learning) model."
While Google is only now releasing details about its supercomputer, it has been online inside the company since 2020 in a data center in Mayes County, Oklahoma. Google said that startup Midjourney used the system to train its model, which generates fresh images after being fed a few words of text.
In the paper, Google said that for comparably sized systems, its chips are up to 1.7 times faster and 1.9 times more power-efficient than a system based on Nvidia's A100 chip that was on the market at the same time as the fourth-generation TPU.
A Nvidia spokesperson declined to comment.
Google said it did not compare its fourth-generation to Nvidia's current flagship H100 chip because the H100 came to the market after Google's chip and is made with newer technology.
Google hinted that it might be working on a new TPU that would compete with the Nvidia H100 but provided no details, with Jouppi telling Reuters that Google has "a healthy pipeline of future chips."
Our Standards: The Thomson Reuters Trust Principles. | NVDA |
https://finnhub.io/api/news?id=2b5a8df2552a81547fc4c02617e05128be7f6c94880b2aab46241d5eeee7430b | Google says its AI supercomputer is faster, greener than Nvidia | Alphabet Inc's Google on Tuesday released new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp. | 2023-04-04T17:35:14 | Reuters | Google says its AI supercomputer is faster, greener than Nvidia A100 chip
April 4 (Reuters) - Alphabet Inc's (GOOGL.O) Google released on Tuesday new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp (NVDA.O).
Google has designed its own custom chip called the Tensor Processing Unit, or TPU. It uses those chips for more than 90% of the company's work on artificial intelligence training, the process of feeding data through models to make them useful at tasks such as responding to queries with human-like text or generating images.
The Google TPU is now in its fourth generation. Google on Tuesday published a scientific paper detailing how it has strung more than 4,000 of the chips together into a supercomputer using its own custom-developed optical switches to help connect individual machines.
Improving these connections has become a key point of competition among companies that build AI supercomputers because so-called large language models that power technologies like Google's Bard or OpenAI's ChatGPT have exploded in size, meaning they are far too large to store on a single chip.
The models must instead be split across thousands of chips, which must then work together for weeks or more to train the model. Google's PaLM model - its largest publicly disclosed language model to date - was trained by splitting it across two of the 4,000-chip supercomputers over 50 days.
Google said its supercomputers make it easy to reconfigure connections between chips on the fly, helping avoid problems and tweak for performance gains.
"Circuit switching makes it easy to route around failed components," Google Fellow Norm Jouppi and Google Distinguished Engineer David Patterson wrote in a blog post about the system. "This flexibility even allows us to change the topology of the supercomputer interconnect to accelerate the performance of an ML (machine learning) model."
While Google is only now releasing details about its supercomputer, it has been online inside the company since 2020 in a data center in Mayes County, Oklahoma. Google said that startup Midjourney used the system to train its model, which generates fresh images after being fed a few words of text.
In the paper, Google said that for comparably sized systems, its chips are up to 1.7 times faster and 1.9 times more power-efficient than a system based on Nvidia's A100 chip that was on the market at the same time as the fourth-generation TPU.
A Nvidia spokesperson declined to comment.
Google said it did not compare its fourth-generation to Nvidia's current flagship H100 chip because the H100 came to the market after Google's chip and is made with newer technology.
Google hinted that it might be working on a new TPU that would compete with the Nvidia H100 but provided no details, with Jouppi telling Reuters that Google has "a healthy pipeline of future chips."
Our Standards: The Thomson Reuters Trust Principles. | NVDA |
https://finnhub.io/api/news?id=58603509d1a17ed4ea041e9bf236bc2bb3b081479521c66ba206602390c8ba53 | UPDATE 2-Google says its AI supercomputer is faster, greener than Nvidia A100 chip | Alphabet Inc's Google released on Tuesday new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp. Google has designed its own custom chip called the Tensor Processing Unit, or TPU. | 2023-04-04T17:35:09 | Yahoo | UPDATE 2-Google says its AI supercomputer is faster, greener than Nvidia A100 chip
(Adds link to research paper in paragraph 3, name of Nvidia chip in headline)
By Stephen Nellis
April 4 (Reuters) - Alphabet Inc's Google released on Tuesday new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp.
Google has designed its own custom chip called the Tensor Processing Unit, or TPU. It uses those chips for more than 90% of the company's work on artificial intelligence training, the process of feeding data through models to make them useful at tasks such as responding to queries with human-like text or generating images.
The Google TPU is now in its fourth generation. Google on Tuesday published a scientific paper detailing how it has strung more than 4,000 of the chips together into a supercomputer using its own custom-developed optical switches to help connect individual machines.
Improving these connections has become a key point of competition among companies that build AI supercomputers because so-called large language models that power technologies like Google's Bard or OpenAI's ChatGPT have exploded in size, meaning they are far too large to store on a single chip.
The models must instead be split across thousands of chips, which must then work together for weeks or more to train the model. Google's PaLM model - its largest publicly disclosed language model to date - was trained by splitting it across two of the 4,000-chip supercomputers over 50 days.
Google said its supercomputers make it easy to reconfigure connections between chips on the fly, helping avoid problems and tweak for performance gains.
"Circuit switching makes it easy to route around failed components," Google Fellow Norm Jouppi and Google Distinguished Engineer David Patterson wrote in a blog post about the system. "This flexibility even allows us to change the topology of the supercomputer interconnect to accelerate the performance of an ML (machine learning) model."
While Google is only now releasing details about its supercomputer, it has been online inside the company since 2020 in a data center in Mayes County, Oklahoma. Google said that startup Midjourney used the system to train its model, which generates fresh images after being fed a few words of text.
In the paper, Google said that for comparably sized systems, its chips are up to 1.7 times faster and 1.9 times more power-efficient than a system based on Nvidia's A100 chip that was on the market at the same time as the fourth-generation TPU.
A Nvidia spokesperson declined to comment.
Google said it did not compare its fourth-generation to Nvidia's current flagship H100 chip because the H100 came to the market after Google's chip and is made with newer technology.
Google hinted that it might be working on a new TPU that would compete with the Nvidia H100 but provided no details, with Jouppi telling Reuters that Google has "a healthy pipeline of future chips." (Reporting by Stephen Nellis in San Francisco; Editing by Matthew Lewis) | NVDA |
https://finnhub.io/api/news?id=928ac172303ac451cdde04bc754e622cc7e1f6289084a23ae94154fe84708ec5 | Google says its AI supercomputer is faster, greener than Nvidia | Alphabet Inc's Google on Tuesday released new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp. | 2023-04-04T17:00:00 | Reuters | Google says its AI supercomputer is faster, greener than Nvidia A100 chip
April 4 (Reuters) - Alphabet Inc's (GOOGL.O) Google released on Tuesday new details about the supercomputers it uses to train its artificial intelligence models, saying the systems are both faster and more power-efficient than comparable systems from Nvidia Corp (NVDA.O).
Google has designed its own custom chip called the Tensor Processing Unit, or TPU. It uses those chips for more than 90% of the company's work on artificial intelligence training, the process of feeding data through models to make them useful at tasks such as responding to queries with human-like text or generating images.
The Google TPU is now in its fourth generation. Google on Tuesday published a scientific paper detailing how it has strung more than 4,000 of the chips together into a supercomputer using its own custom-developed optical switches to help connect individual machines.
Improving these connections has become a key point of competition among companies that build AI supercomputers because so-called large language models that power technologies like Google's Bard or OpenAI's ChatGPT have exploded in size, meaning they are far too large to store on a single chip.
The models must instead be split across thousands of chips, which must then work together for weeks or more to train the model. Google's PaLM model - its largest publicly disclosed language model to date - was trained by splitting it across two of the 4,000-chip supercomputers over 50 days.
Google said its supercomputers make it easy to reconfigure connections between chips on the fly, helping avoid problems and tweak for performance gains.
"Circuit switching makes it easy to route around failed components," Google Fellow Norm Jouppi and Google Distinguished Engineer David Patterson wrote in a blog post about the system. "This flexibility even allows us to change the topology of the supercomputer interconnect to accelerate the performance of an ML (machine learning) model."
While Google is only now releasing details about its supercomputer, it has been online inside the company since 2020 in a data center in Mayes County, Oklahoma. Google said that startup Midjourney used the system to train its model, which generates fresh images after being fed a few words of text.
In the paper, Google said that for comparably sized systems, its chips are up to 1.7 times faster and 1.9 times more power-efficient than a system based on Nvidia's A100 chip that was on the market at the same time as the fourth-generation TPU.
A Nvidia spokesperson declined to comment.
Google said it did not compare its fourth-generation to Nvidia's current flagship H100 chip because the H100 came to the market after Google's chip and is made with newer technology.
Google hinted that it might be working on a new TPU that would compete with the Nvidia H100 but provided no details, with Jouppi telling Reuters that Google has "a healthy pipeline of future chips."
Our Standards: The Thomson Reuters Trust Principles. | NVDA |
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