Can Nvidia Stock Reach $300 In 2023? Yes, Consider Generative AI Growth Potential
Nvidia's stock price has been going up, as the rise of generative AI should have a positive impact on its growth prospects. Read what this means for NVDA stock.
Can Nvidia Stock Reach $300 In 2023? Yes, Consider Generative AI Growth Potential
Summary
- Nvidia Corporation's share price has been going up recently, as the rise of generative AI should have a positive impact on its growth prospects for the short term and long term.
- I see Nvidia's shares rising above $300, considering that Nvidia is well-positioned to leverage on generative AI growth opportunities, and the implied 1.5 times PEG ratio is reasonable.
- My Buy rating for Nvidia remains unchanged; Nvidia still offers a decent upside at its current price, and the stock is a long-term play on AI.
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Elevator Pitch
I continue to rate Nvidia Corporation (NASDAQ:NVDA) stock as a Buy.
NVDA's shares have surged by +63% (source: Seeking Alpha price data), since I raised my investment rating for Nvidia Corporation to a Buy in my July 26, 2022 write-up outlining its 10-year outlook.
With my latest update, I highlight that NVDA is still a worthy investment candidate. Taking into account its new AI inference offerings and the stock's price/earnings to growth or PEG valuations, Nvidia Corporation has the potential to rise by a further +12% to $300 or higher in the current year. Looking into the future, generative AI holds significant growth potential, and NVDA is a beneficiary of the potential shift in AI inference workloads from CPUs to GPUs. As such, I have kept my Buy rating for Nvidia Corporation intact.
Why Has Nvidia's Stock Price Been Going Up?
Nvidia Corporation's share price went up by +13%, +88%, and +104% in the last one month, 2023 year-to-date, and the past six months, respectively.
NVDA's stock price has been rising because the company is a key beneficiary of the rise of generative AI. Mckinsey defines generative AI as "algorithms (such as ChatGPT) that can be used to create new content."
In the short term, NVDA disclosed at its shareholder/analyst conference on March 23, 2023, that it is "seeing stronger demand from our hyperscale customers for all of our data center platforms as they focus on generative AI," particularly in the past one month. Earlier, Nvidia Corporation guided for positive QoQ and YoY revenue growth for its data center segment in Q1 FY 2024 (YE January) as per its management comments at the late-February FY 2023 earnings call. Notably, NVDA's new H100 data center GPU (Graphics Processing Unit) which delivers better AI inference performance than its predecessor (A100) has been well-received by clients. As such, the near-term outlook for Nvidia Corporation's data center business is favorable.
For the long run, AI inference is expected to be a major growth driver for Nvidia Corporation. As per a March 16, 2023 report (not publicly available) titled "Large Language Model Enthusiasm Is Transforming Cloud Capex," Morgan Stanley (MS) estimated that NVDA's annual AI inference revenue could potentially increase 10-fold to $5 billion in the next five years. MS' forecasts are aligned with NVDA's comments at the recent March 23 shareholder/analyst conference on March 23 noting that generative AI will drive a "step function increase in the amount of inference workloads."
Is The Chip Shortage A Problem For Nvidia?
The lack of semiconductor chips shouldn't be an issue that holds back Nvidia in the near term.
At its shareholder/analyst call in late March, Nvidia Corporation assured investors that "we feel confident that we will be able to serve this (data center) market as we continue to build the supply," when it addressed a question on potential data center chip shortage.
NVDA's recent management remarks are consistent with third-party research. Based on a March 23, 2023 research report published by Bain, "delivery times" for semiconductor chips on average were approximately nine weeks shorter in early 2023 as compared to what they were last year.
In other words, I don't expect chip supply to be a constraining factor for Nvidia Corporation this time around.
What Are Analysts Saying About Nvidia?
Wall Street is saying good things about Nvidia Corporation in relation to the generative AI growth driver.
Earlier, Seeking Alpha News published an article on March 22, 2023, citing comments from a couple of sell-side analysts with regards to their views on NVDA. Barclays (BCS) referred to Nvidia Corporation as the "king of generative AI" which it described as "the biggest secular tailwind in Tech." Separately, the analyst from Bank of America (BAC) highlighted the company's "dominance in the nascent generative AI/large language model market." More importantly, Bernstein's sell-side analyst stressed that "the massive [total addressable market] numbers" for NVDA "are looking a little less outlandish every day" with the rise of generative AI.
In a nutshell, the Wall Street analysts' comments support my view that generative AI's rise will extend Nvidia Corporation's growth runway, as I have discussed above.
Nvidia Stock Key Metrics
There are certain metrics which indicate that analyst sentiment for Nvidia has become much more favorable in recent months.
The market's consensus Q1 FY 2024 normalized EPS estimate for Nvidia Corporation has been increased by +4.1% in the past three months. During this same time period, twice as many analysts (18) lifted their first quarter bottom line forecasts for NVDA as compared to those (9) who cut their Q1 EPS projections.
Also, the average sell-side analyst rating for NVDA rose from 4.16 as of February 27, 2023 to 4.27 as of April 5, 2023. With ratings of 4 and 5 representing Buy and Strong Buy recommendations, respectively, it is apparent that analysts in general are increasingly bullish on Nvidia Corporation's appeal as a potential investment candidate.
What Is The Current NVDA Price Target?
The mean Wall Street analyst target price for Nvidia Corporation's stock has increased substantially by +37% from $202.45 at the end of last year to $276.53 as of April 5 this year. The current mean sell-side price target for NVDA is still above the company's last traded share price of $268.81 at the end of the April 5, 2023, trading day.
But it will be more meaningful to refer to the median analyst target price for NVDA, as the mean metric is easily influenced by outliers. Nvidia Corporation's current median sell-side price target is higher (as compared to mean) at $290.50 (source: S&P Capital IQ), which translates into an +8% upside.
I expect NVDA's actual share price performance for 2023 to be better than what the analysts are expecting, as detailed in the next section.
Can Nvidia Stock Reach $300 In 2023?
My opinion is that NVDA's shares can go up to $300 or higher in 2023, and this will be equivalent to a minimum double-digit percentage (or 12% to be exact) capital appreciation potential as compared to its current price level. Nvidia Corporation's valuations will be still quite reasonable at a stock price of $300, and the company's recent new platform introductions suggest that it is well-positioned to capitalize on AI inference growth opportunities.
As per S&P Capital IQ data, a $300 price target for NVDA will translate into a consensus forward FY 2024 normalized P/E of 50.0 times, while its consensus FY 2024-2027 normalized EPS CAGR is +32.8%. This works out to be a PEG multiple of 1.5 times for Nvidia Corporation, which isn't unwarranted for a high-growth stock like NVDA.
Nvidia Corporation's New AI Inference Platforms Introduced At GTC 2023
At the recent GPU Technology Conference or GTC 2023 in late-March, NVDA introduced four AI inference platforms. The L4 and L40 are targeted at video computing and image generation, respectively. The H100 NVL is focused on LLM or Large Language Models, while the Grace Hopper will be suited for recommendation models.
Nvidia Corporation had emphasized at its March 23, 2023 analyst/shareholder conference that the rise of generative AI means "it is no longer possible, using general-purpose computing CPUs" to "sustain increased workloads." As workloads eventually shift from CPUs to GPUs, it is very likely that NVDA's AI inference offerings, which the company has indicated to be cost- and energy-efficient, should gain substantial share.
Bottom Line
Nvidia Corporation shares are still a Buy despite the recent outperformance. In the near term, Nvidia Corporation stock still has a decent upside of at least +12%, as I expect its share price to go above $300 this year. For the intermediate to long term, Nvidia Corporation is a key proxy for the generative AI investment theme.
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Comments (58)
i'm sure there were similar arguments put forth when NVDA started 😄
I owned my stock for over 6 years up 8.5x in my IRA.
I purchased it a little over 6 years ago. The reason Artificial intelligence the 4th Industrial Revolution. My career hardware software systems semiconductor peripherals and cybersecurity.
Amazing how many people have opinions but they know very little about Nvidia. All the new markets they're in with tremendous TAM's
The new strategic relationships partnerships with Google Amazon Microsoft and Oracle.
All four companies will be renting time @ $36,000+ per hour to their customers on Nvidia Cloud supercomputer including software.. Why didn't they do it themselves ??
They can't only Nvidia can do. How?
Nvidia's Cloud AI Data Factory Supercomputer Platform, CUDA Software Platform and massive AI Vertical Market AI Libraries.
The question about will enough production from Taiwan semiconductor their fab.
The answer is definitely yes.NVIDIA, ASML, TSMC & Synopsys Accelerate Next-Gen Chip Manufacturing By 40x With Nvidia cuLitho software.
It's backward compatible with older Nvidia GPU systems.
Taiwan semiconductor will begin using Nvidia cuLitho syoftware in June 2023.
NVIDIA today announced a Breakthrough that brings Accelerated Computing to the field of Computational Lithography, enabling Semiconductor Leaders like ASML, TSMC, and Synopsys to aoccelerate the Design and Manufacturing of Next Generation Chips, just as current production processes are nearing the limits of what physics makes possiblewccftech.com/...
They were 2x more accurate and faster than any of the competition. Nvidia funded a great deal of AlexNet. They are the fathers of AI research.
You can Google it.
AlexNet was using Nvidia GPUs.
In 2016 Nvidia was funding and gave their first built in-house supercomputer to OpenAI who developed ChatGPT.
ChatGPT will only run on Nvidia hardware and software. Nvidia system was exclusively used to develop ChatGPT You can Google it and there's a picture of Jensen Huang founder /CEO of Nvidia signing supercomputer gifted to OpenAI . That was a $1 million gift buy Nvidia.Google compared their T4 Tensor core to an older Nvidia A100.
The new GPU series is the H100, it's currently in production
Why did they do that ?? Google would have been slaughtered comparing their T4 to Nvidia's H100
You're a little behind in your reading.
Google's sly unprofessional dirty tricks move was published the day before the new speed testing was released MLPerformance 3.0 testing by MLCommons.
May you have a good day and good luck in your investing.
The article is below.
The new H100 is about 4X faster than the A100
My career has been in hardware software systems semiconductor peripherals and cybersecurity.
I've been living and breathing this arena everyday my whole career. My investment in Nvidia was over 6 years ago. It's the only horse in town winning the race in AIwww.forbes.com/...
Try not to do any conversions of stocks at the top of their trading range. Wait for pullbacks and you don't have to move your whole position at one time. I made conversions in early 2020 and again July 2022 and Sep/Oct 2022. Saving thousand of/on taxable income. I have one less account that has RMD. Slow and steading keeps the tax man at bay.
But there will be a recession in a few months and this bubble NVDA is in right now will likely deflate again. Now I believe I have a realistic range to trade in. Besides which, buying 100 shares of this stock requires almost $30,000. And unless you have that type of capital to put into one stock how much exposure do you want to make a few dollars on 10 or 20 shares? JMO (just my opinion)
It all about percentages. If you 20% on 10 shares or 100 share, it's still 20%. You have to start somewhere. And for the beginner or resource restricted I'd much prefer they own 10 shares of 10 stocks than 100 shares of one stock.
A nvda shareholder.
At 50-60% revenue growth this upcoming quarter, I could potentially justify its valuation. Let’s see what they can deliver. Last 2x quarters showed negative 16% and negative 20% revenue growth regardless of the AI craze.
To justify the valuation, they should be doubling revenue each year for the next 5 years.
Tech (good tech with real products and healthy cashflow) isn't finished recovering from the downturn of 2022. I *think* ERs this season won't be as bad as everyone expects. Plus, AI competitive advantage factors will propel good Tech further. (My portfolio is heavy on Tech and am not listening to analysts about 'defensive plays').