Hey everyone, welcome back to theCUBE. The leader in live tech coverage. We're coming to you live from Las Vegas, the Venetian Expo. It's HPE Discover 2023. Lisa Martin here with Dave Vellante. Our first day of coverage of three days. We're going to be having a ton of conversations as we always do the CUBE's canon of content, Dave. Just continues. It always comes back to the data. It always does come back to the data. We're going to be having a great conversation with Brandon Whitelaw who joins us. VP of Strategic Partnerships at Cumulo. Brandon, great to have you on the show. Talk to us about what's going on at Cumulo, industry, leadership. Give us all that good stuff. Yeah, thanks so much. It's great to be here. As I mentioned before, long-time listener, first-time caller. And it's a great show. It's my first time at Discover. I've been at other competitive spots exactly here before. And it's a fantastic, put together show, really insightful. We're loving it. Great traction with customers coming to the booth and being able to talk about what we have related to being able to scale anywhere and help with the data challenges that customers are facing. Cumulo now is five years in a row in Gartner's Magic Quadrant and the Leader Quadrant, most innovative in that space. And it really comes down to predicated on the ability to help customers in a purely actual, software-defined way take advantage of hardware innovation as rapidly as great companies like HPE can put it out to be able to go after their challenges related to putting their data wherever they need it, whether it be, as we heard today, on the edge, in the data center or in the cloud, or where I really think the future is, which is in a hybrid topology. And that's one of the things that Cumulo has done. Early on, you guys were sort of leaned into that cross-cloud. It was an early example of what we called super-cloud. We actually pointed to Cumulo as a consistent experience, whether you're on-prem or across-cloud. But what about the challenges of unstructured data? I thought they were all solved by 2023. What are the issues that customers are having? Is it just the amount of data just keeps growing and the old three Vs or five Vs or whatever it was? What's your take? Volume, velocity, yeah. I mean, I think the interesting thing about it is that it continues to evolve more and more into primary, high-value workloads. Once upon a time, unstructured data was kind of your back-office IT home directories and file shares. For the most part, we see that transitioning towards better programs to be able to collaborate like Office 365, OneDrive, Google Drive, et cetera. Where we see most coming out now is customers really struggling with trying to figure out how to modernize these workloads to be able to kind of buy the base and rent the peak, so to speak, of private and public cloud and be able to have the same simple, seamless, scalable experience for that data anywhere they want to put that data, where it's demanded of them. Whether or not they have artificial intelligence, data scientists wanting to use a particular algorithm that comes out, Google one day, Amazon the next day, and they have to have their data there and ready for it, or they have to have it on-prem where they know that they can have a consistent, controlled experience and leverage all the goodness that GreenLake has to offer. So we really help customers really be able to do any of that without compromise. In fact, I saw it from both sides. I saw from over a decade of having best in class on-prem scale out technology and then in the cloud for three years at AWS seeing customers trying to move it there from the other direction and the reality is that it's kind of having to be cloud smart. Where does it makes the most sense and that can change from month to month depending on what's going on in the department you're talking to. And so to be able to do that without compromise, not like a toy implementation in the cloud but the full actual experience without compromise that's effective from a cost performance and scale really helps. And where are these customer conversations these days? Is this at the C level in terms of managing these growing volumes of unstructured data being able to have access to the right data but from a cost perspective and from a sustainability perspective where are you talking with customers these days? Well, so they're really getting on both sides. So Core IT is getting squeezed as always to do more with less. So they want simplicity, they want efficiency, they want the ability to consolidate more workloads to have fewer things to manage. And on the other side, that same organization is trying to funnel as much money as possible into agile, flexible, next-gen workloads and have those deployed again wherever it makes most sense at that time. And 94% of companies of enterprise accounts are in cloud and some 80 some odd percent are multi-cloud and the complexities of having a different experience everywhere and a different way to manage and store that data is really, really challenging and that adds to expense. And so ultimately being able to do that in a more modern approach that reduces cost quite a bit and bridge the gap between that kind of strategic CIO level and the storage team who still needs to govern, secure and control it and provide that real-time file system analytics on any side of that equation that helps across the board there. You talked about buy the base, rent the peak. Yeah. So I like that. I like that. Or even more so GreenLake like. Yeah. So do you approach that with partners or do you also, are you tempted to or do you basically do it through a cumulo interface with clients? Yeah, so we were a 100% partner driven as in how we go to market and what we find is that there's, there's actually two different types of engagements based on what the, where the customers are at in their journey of being able to leverage cloud appropriately. So usually we see that the trusted guided IT professionals that help resell traditional hardware that are fantastic partners with HPE helping with the majority of that. And then we also see cloud SI consultants coming in to try to help figure out the best way to optimize cloud where necessary. And because of how we're licensed it's pure software. We don't have any proprietary hardware. It doesn't make it, we can take advantage of the newest, greatest thing that HPE comes out with tomorrow or public clouds. And it makes it so that you really have a tremendous amount of agility and flexibility to help with that. And then the partners of course can help guide it because especially when doing a hybrid topology it's almost as sad as it is to say to be a storage guy it's almost never about actually just the storage. On prem it's kind of like Indiana Jones like how do I swap out one thing for the next thing and don't change anything out? But with cloud especially hybrid cloud it's, it reminds me of like the Martian like how do you go about figuring out how to science this thing to be able to make it so you have it in the right place at the right time and you find the right topology and you need to experience cloud providers to understand the application side of things. So we leverage both. I love that you just dropped two awesome movies The Martian and Indiana Jones. The Spirit of Movies and Easter Eggs. You mentioned one a minute ago I mentioned it in the teaser for your segment. We know skill out. We talk about it all the time. Kimulo's skill anywhere. That's the new id girl. What does that mean? And why does it matter? We see it as really an evolution and you guys have seen the ebbs and flows of IT, right? Of centralization, decentralization and all the things that have happened. I was part of the journey of the beginning of skill out. So back in the day and going from a skill up file to actual scale out and that's really the core foundation that started with Kimulo but we found as an opportunity is to be able to take that same experience and just go a level further which is if I just zoom out a bit from the data center and now I'm looking at edge and cloud and multi-cloud it's really being able to scale that same experience and capability in any of those domains. So it's like a true global namespace but not confined within a data center it's actually. Yeah, so the same experience, the same performance, the same flexibility and agility in any of the three major hyperscalers that you get on-prem. Again, not kind of a toy implementation, joking. I kind of sometimes really get it to like, I don't know, food that you get in a movie theater, generically, like you don't go out of your way to go to the movie theater to eat the nachos there. But if you're there, you eat it because you're not allowed to bring other things in and that's a lot of the file options in cloud today even from established on-premises vendors. They're very limited in scale, performance and cost. I kind of jokingly say if you were to take any of those solutions wrap it in a box and try to sell it on-prem you kind of get laughed out the door. But in our circumstance it's not. It's actually just the same. In fact, in some circumstances, faster performance in cloud than on-prem and with what HPE has done from a flexibility and agility and cost modeling perspective they're really combining the best of both worlds and from a technology perspective we're a perfect fit there. Why do you think that is? Is it just, is it the maturity of the stack? I mean, the storage is hard, right? You know, it takes years, maybe even sometimes a decade to mature your stack. We know this. Is it, but cloud's been around for a while, you know? And so why do you think it is that their stacks are somewhat deficient or actually largely deficient to, you know, not only cumulon but take a, pick your storage company that's been around for a long time. They've got better product, more functional features. Like I said, they get kicked out of the enterprise if they actually tried to offer the movie theater food. I hope that takes up, no, as an analogy. So I think what it comes down to is the tale of two cities. So you have kind of legacy vendors who started with their software stack 20, 30 years ago that really are in a situation a lot of customers in where they look at it and they say the best I can do is lift and shift the existing thing I have and change as little as possible to put it there. And because I can't control the underlying hardware stack which is actually where I get most of my money anyways, I'm gonna just try to get kind of the same experience but, you know, try to fit that square peg in a round hole as much as possible. And it's really limited because of that. On the other end of the scale with the hyperscalers they predominantly invested in block and objects. Now admittedly misguidingly thinking that all the file will just transition one of those two ways. Not realizing that with the advent of like AI and ML which is predominantly done on file if you look at bioinformatics and media entertainment this is all file and it's all been growing the whole time cloud's been growing. In fact, it's the fastest growing segment of those three while cloud has been growing. And the largest. Yeah, and so where we see this huge opportunity is 95% of the unstructured data on-premises file but less than 5% in the cloud is. And so file's really the final frontier. It is the anchor tenant, as customers have told me the anchor tenant on-prem that is keeping them from being able to move workloads because there's just such a gap there. Now recently in the last couple of years the hyperscalers started to really focus on this through partnerships. For example, we have the Azure native cumulo offering which is Azure's only native integrated portal launch storage opportunity. And on top of it we have more coming related to AWS and Google but the ability really presents itself where block and object being mostly application connected without humans touching it, seemed to just be easier I think along the way and file is complex. The file system owns a lot of things that normally a block and object system don't. And that's why you have so many variants. There is no, unfortunately, there's not one size fits all there. And customers have preference and use cases change. No compression algorithm or experience. Famous cloud CEO once said, what about AI? I mean, given the thrust and AI was invented last year I'll put a joke, late last year. But given all the focus on AI and the marriage of AI and file as you just pointed out, how do you guys, you know, cumulo, HPE, how do you think about that and where do you see it going? Well, a couple things. One, fortunately, although I was not here to take credit for whatsoever for it, cumulo was very early in that game we're actually just being a consumer of AI. So a deep machine learning algorithm to help optimize how it caches data between spinning disk and SSD. Just tremendously high cash hits that actually is very well translated into how we operate in the cloud as well. So 10 years plus of maturing that model and using it to make the storage better. So it's actually a really early example kind of eating your own dog food in that way. You know, a 4k heat map of the entire file system is very hard to do unless you plan to do it from day one. So that was there. I think in addition to that, what we see is a lot of customers now in this arms race to figure out how to implement and integrate this into their business and get access to the right appropriate tools for it. And a lot of times what it comes down to is this hybrid topology. So how do I go test and be agile and try new things very quickly in the cloud? And then if it gets production and gets going really big, sometimes it makes sense to actually pull that back down on-prem into a green light cloud where you can control the cost characteristics, the performance characteristics, maybe data sovereignty and locality characteristics. And so, again, having that hybrid topology in the reverse sometimes, I had a customer telling me their incubation chamber is always cloud, but the moment the workload goes production, they bring it on-prem because they know that it comes down to variability. If variability is very high, cloud works great. If variability is low and consistent, you can almost always save more money back on-prem. I think a lot of people confuse that for repatriation. It's really just smart, cloud smart I guess is what that is. There's a lot of that going on. So do you actually specifically sort of optimize for GPUs? Have you been doing that for a while? Yeah, I mean, the nice thing is kind of an accidental architectural benefit, so to speak, before this was a massive workload for most customers. Most traditional file systems struggle with the simultaneous read threads needed by all these GPU cores. You know, the core count, even on a one-U HPE box out here, can be 25, 30,000 cores of CUDA cores looking for threads. And traditional file systems have a limitation on that. They hold a memory handle on every single one, we don't. And so it allows us to scale to the absolute tip performance of the whole system without having that kind of artificial construct in place there that many other systems do have a challenge with. So that's one thing. The second thing actually where we see a huge amount of opportunity in Azure and AWS as well is that surprisingly to me, while 99% of AI machine learning on-premise through a file system, high-performance NVMe file system, in cloud, it's almost none of it. In fact, almost all of it is built again with the tools they had at the time with staging data and object, and then holding it, sorry, an object, and then staging it into the local NVMe disk, which by the way, they're paying per second for that GPU server. It's the most expensive byte of data you can buy in the cloud is that local disk in that GPU server. And they're waiting sometimes hours to load data into it to run the query. So having a shared high-performance file system that can scale the whole data set across multiple GPUs actually accelerates time to learning, reduces time to be to learn so you can move on to inference and other stages that workload really helps out quite a bit. And I can get that in the cloud. If I want to access the cumulostack, I can do that, right? Yeah, absolutely. Same exact experience, native sync between the two. Like I said, you can train in cloud if it made sense for that period of time and bring it back on prem for inference or use the most recent models. Anywhere that data needs to be to get the access to those tools. So the premise that HPE is putting forth is a couple, but basically their LLMs that they announced LLMs in GreenLake is essentially people are going to want to train privately. It's going to be more efficiently done with HPE supercomputers, right?  I know what are your thoughts on that. Yeah, look, I think it makes sense because surprisingly, the number one challenge with these models in hyperscalers today is access to the GPUs. There is such a massive challenge in just getting time on these things and the cost is through the roof as you can imagine because they can, because of the demand. And so I think with supply chains now getting back to where they should be and things along these lines, people are realizing that being able to kind of experiment and try new models and community access in the cloud. But when it really comes time to like put that thing to 100% and just go and train that model as hard as you can, some of the hardware innovation that the HPE has available just makes a total sense and really makes it also to where, you know, look, I'm sure the first times people went through some training runs in the cloud and then you get the bill at the end. It was a bit of a, you know. And so, yeah, to have a pre-budgeted IT experience, again, it's a differentiation whether on-prem or in cloud, we're flat rate pricing. There's no hidden expenses. You're not charged per read or write like a lot of things. And so it really aligns value to where it matters most, which is how do you just accelerate outcomes? Last question, Brandon, take us out with your favorite customer story that you think really articulates the value of what Cumulo is delivering, especially with its partnership with HPE. And if you can drop an analogy, your game is strong, I encourage it. You know, one of the ones that's most dear to my heart is actually working with a children's hospital in Ohio where they, unlike regular hospitals, actually have a much longer retention for medical imaging and they also wanted a way to be able to get access to AI machine learning models to be able to help with early tumor detection and things like this. And for HIPAA requirements, it's got to be their own data set. And so they really wanted the ability to, they're not masters of IT per se. Their focus is obviously helping kids. They needed to be able to find cost effectiveness in storing the data, at the same time, use that to train their models so they can get better at science. And being able to go between Azure and on-prem with GreenLake has allowed them to move that data where is stage appropriate when it's needed to not slow down radiology, not slow down surgery, but also train models to develop new ways to find specifically to their demographic, their kids, that they're trying to help. And it's just fantastic to see the results already. And you'll hear a lot more about it, I think, publicly by the end of this year, but it's a great partnership. Great partnership. You just talked about how that really shines the light on the availability, the agility, the flexibility, but also on those business outcomes. And when we, when you look at it in healthcare, the business outcomes are life and death. Thank you so much, Brandon, for joining Dave and me on the program, talking to us about what's new with Cumulo, the HPE partnership and the outcomes that you're helping customers achieve. Great to have you. Thanks for calling in. Thank you so much. Yeah. I appreciate it. All right. We want to thank you for watching the segment for Brandon Whitelaw and Dave Vellante. I'm Lisa Martin, but don't go anywhere because our next segment features a CUBE alumni, Greg Ernst from Intel. He's going to be joining us talking about HPE and Intel and what a successful AI deployment entails. You're watching theCUBE, the leader in live tech coverage.


President Mohamed Buari has met with Jamaican Prime Minister Andrew Honus loudened the relations between the two countries. The president's spokesman Mr. Femi Adeshina said the two leaders met on the sidelines of the 26th edition of the Commonwealth Heads of Government Meeting. In his remarks, Honus said Nigeria had been very supportive of Jamaica with the two countries having commercial agreements in place. He added that the maiden flight from Lagos to Jamaica about two years ago was well received plus the relationships in the creative industry, sport and finance. Now while referring to a recent opinion article written by Buari and published in international newspapers, Honus said he agreed that the Commonwealth could be more than just the club of friends who have affinity with the United Kingdom and have become an economic powerhouse. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


Welcome folks, we have the Dow industrial trading up 67, NASDAQ is up 153, S&P is up 23, and let's go over to Tesla folks, so Tesla broke the trillion dollar mark out here today. Tesla at one point in the marketplace was actually up 16%, 14% rather. You hit 1,045, now the thing that's really intriguing about this, of course they're buying, Hertz is buying 100,000 Teslas off them, it's going to be huge, there's no doubt about that, but when you look at these numbers it's pretty intense, Tesla is the first trillion dollar company that actually, when you're looking at the S&P, their bonds are still basically junk bonds, which is just absolutely amazing. So we'll see where the rest of this shakes out, value wise though, it is like through the moon, and what I mean by through the moon folks is this, is that it's trading at 177 PE, but yet only growing by 12% in the United States, so we'll see where the whole thing shakes out. Gold, gold contract out here continues to catch a bid, and that's even with the dollar up a bit, we have gold trading up 13, 50, gold had big day on Friday, wide price spread, accelerated volume, you're holding price out here today, you're at 1809, gold wants to run up to this 1839 level, and good old king dollar, if we take a look at king dollar, king dollar closed below the lower range on Friday, jumped right above it once again, the 93, 729 is the number to watch, and if we go over the bond market, bonds look to me like they're off the lows right now, so this is going to get intriguing watching this, particularly because we have the markets higher, but yet the 10 and the 30 year bottom line are also higher too, and that's just another heads up that guess what, there's more underlying strength inside of the bond market, went right to the lower end of its consolidation, and we talk about the lower end, we're talking on the 10 year 129, 31, you're at 130 right now, and what we do have happening is that you're at a 1.63 on the 10 year, so I do expect you're going to get a bounce out of here, we'll see whether it's just like dead cat boughs are in fact, guess what, rates want to go down again, okay, the bottom line is that, yeah, on the longer term, I expect rates to go up, short of term, they note some bonds are saying they want higher price, stay right there folks, come right back, Dow industrials right now up 66, Nasdaq has up 148, S&P's up 23, come right back.


What they gonna do with me now? I'm still a twerk in the town I'm getting the sisters, I'm hooking them down Reaching the smiles and the frowns I just want you to get over it Politics aside, politics aside Cause you're single, right? Yeah Okay And you know, you work in the industry with a lot of guys Some cute, some not so cute No body Bro I'm gay, I like girls I got girls here too, alright?    Alright Alright, this is all for fun What, who? This is all for fun Who? Who did you say? This is all for fun Who did you say?  This is all for fun Huh? Are you behind that account? No, how?  And Nas Oh Oh, nah, you just did that on purpose It's really listed here, but Is it?


It seemed like the people who never tip they always want you to do the most. I ain't gonna lie, man I'm kind of petty. I'm gonna smash they bread or something cuz y'all boogers for that That was by far our greatest order ever To live your scrub makes you smet that scrub, but give me a thumbs up and do not skip those as order number one And we've sparked up one order shop and deliver 12 items 9.8 miles for 21 77 thank God for as much as I will say this is not the greatest of orders I've been noticing that I'll always for them a lot of people ain't been tipping lady, baby I don't know what's going on. It is what it is. It ain't what it ain't We don't get this money and we stop because we can't we can be about to run it up, baby I told you guys 2022 back season makes you smet that scrub, but give me a thumbs up Do not skip those ads and watch us get to this bag. Let's go. Oh, it's a back door on here It's a call to me that back door, please All right, I'll bring it right here. No, I could whatever Yeah, I'm back there Yeah They said call me at the back door. Oh, no, what's going on? I'm gonna rock on the wrong door Cuz I still don't know which door it is. Which one is the door? Oh, that's the door So what is this door right here? Oh Oh So that's why I did not put a lot of them I came to the front cuz I ain't nobody's month They didn't have the two right there. You got it. All right, you guys have a good one.  Let's drop also when I talk about this I said it before it seemed like the people who never tip they always want you to do the most I think on the app it said the call to meet at the back door I get there I call it keeps on hanging up call hang up call hang up So then I had to go to the front door because the back door didn't have a number on it And it was literally three doors back there So I didn't know which door was which so I went to the front door to knock on the door Then he talked about he wanted it the front door. I do y'all told me to put it at the back door Now it's something whole different. I don't know it is what it is. It ain't what it ain't we've got to get this money Baby, let's go order number two what it do all the way sparked up one order 4.2 miles for 1103 get with me, baby Order number three get with me, baby Order number three is a shift order Joel for 1982 what it do order number four It's time to get to this though, baby order number four is Starbucks 2.3 miles for six thirty seven Thank God for his blessings. We get money way in stressing. Let's go Hello, I have a pickup for the vet. Yes, thank you very much All righty, thank you have a good one Baby, we are here to drop off this Starbuck baby starbuck baby, we all go to Starbucks. If y'all go to Starbucks, what do y'all get it? I like that strawberry. That's how I I really get coffee. Honestly, I think that the coffee has a lot of sugar in it But you know, you got to switch it up sometime trying different things, you know, or that drag approval What it do right here, baby Hello, I have delivery for the vet. Yes, there you go. Thank you. You guys have a good one Order number five. Let's drive order number five is Myers 30 items for 1944 win the dough. Y'all already know let's go We are here to drop this paper paper paper I have no idea what I'm calling. Oh, here we go right here, baby That joint lock Hello, no problem Okay, I have to get the other one for you. Yes, ma'am You're welcome. You have a great one Make sure no, ma'am. I just have to take a photo of you don't mind photo No, it's okay. I could just use one. Thank you. You have a good one Order number six. We trying to get in the mix, baby All the way sparked up one order 5.7 miles is 12 items. Let me make sure it is 11 items for 1287. Thank God for his blessings. Let's go Hello How are you doing? I'm finding yourself. I'm here for your Sam's Club delivery. Yes, ma'am It's the paper alcohol and a few other things would you I was wondering where you want me to put it at. Yeah, we can stock it, you know, stack it in here and I'll have one Okay. Okay. Okay. I'm ready. You're welcome Order number seven we get money we're in stress and thank God for his blessing Taco Bell three items 2.1 miles for 525 Let's drive Yes, ma'am. Thank you. You guys have a good one Here's all of this to get up back on the belly, baby. Drop it like it's hot Taco Bell breakfast, I've never had it before. How is it smack it in with that photo? Y'all we know dog doorbell. Let's go Order number eight is time to get to this cake Walmart to order 66 items of 4.7 miles for 1050 get with me What's your name? DDK. Make sure you get your order some DDK. You don't take care of y'all Yeah, make sure your bread and crush your eggs ain't correct. Yeah, and if it is I don't know if you don't come back Yeah, you have a good day, man. Yes, sir. You already know I'll probably be back. Hopefully Don't be fooled. Get this money, man. Order number one. Let's get it done, baby We're gonna run at the door so we can get this door. Yeah, I already know Get up with that photo, but y'all already know Just like that, we are here to jump up order number two what to do I hope they gave us a tip because look that last order only gave us a $2 tip They was out of pocket and this person right here got one of everything from the grocery store We got every bag we got here So hopefully they tip this If not, then here's what it is, baby When you complain and we maintain Y'all see all that? Hopefully we got a tip. We'll see Let's go So guess what they actually did give us a tip. So for all two orders, we made 21 50 get with me We're trying to get back to um Right around the Walmart so we can get always parked up again We ain't doing too bad. It seems like today is going slow, but we actually doing pretty good I don't know why maybe the um The orders are just based on a little bit. I'm not sure but either way go we're about to get to this door Let's go. Guess what we got some more tips. We got tips for order number three and order number five stay alive Let's drive order number three. We got a five on the tip and order number five. We got a $18 tip I hope you get to the money because we letting it rip. Let's go order number nine We on the grind to the end of time. Y'all about to see a sign, baby Walmart 53 islands 5.3 miles two orders for 10 25. Let's drive We are here to knock out order number one, baby We about to get it done about to get this money like it ain't funny. Don't think it was a good tip I know this. Oh, I was when I was at the um Give this order the people at Walmart told me that they uh system went down yesterday We was getting a lot of notifications for spark sand that um If the spark abyss mess up, it should be fixed by now and all that stuff. So I guess they have some some technical difficulties at the uh With their systems that literally had to hand pick everything is what he was saying That's critical That's probably why the spark orders was colored floor yesterday They let me draw and fade away smack the photo And with the doorbell bingo, let's go Guess what this one was even worse than that last one not the last one But the second to let with two quarters ago y'all remember when I said they didn't tip Guess how much they didn't tip us zero dollars. We got 325 for this or they're out of pocket.  We maintaining hopefully This next order tip this maybe it's who knows it could be because the uh Their system crashed and the person was mad because they needed their groceries I don't know but all I know is they need to let us get this dough and y'all already know We're gonna continue to keep moving and grooving. I hope it's soon and they'll be getting this money Let's go water number two.  They should feel bad. I don't know. What people don't tip down and feel bad at all. They just Keep on going on with their day How would they feel if they went to work and they didn't get paid overtime? How's that feel? How would they feel about that? They'd be crying about that wouldn't Last one Oh They didn't want that photo. Stop boy. Let's get these bad hands. Let's go And we were correct, baby The last guy did tip us huge shout out to him a huge shout out to other other who tipped us on the other order I think what door dash is doing They are mixing the good orders with the bad orders that stay doing the no tip orders with the tip orders They get it out that way They out of pocket and the forever if you out there if you watching this video, you don't tip you out of pocket I was going to tell you right now And if you were dash or hashtag you out of pocket in the in the comment section because people are out of pocket For now tipping. I don't know what's wrong. Who braids you? What's the matter with you? Let's go order 10 and 11 Thank god for his blessings. We get money way in stressing We got really like four iron orders, but really two what to do I'm gonna do one of my business partner gonna do the other one order number 10 is Panera brand teriyaki madness Three items 7.9 miles for 11 25 stay alive. Let's drive order number 11 is chilies and buffalo wild wings Five items 6.6 miles for 11 25. Let's drive, baby I hope you guys are enjoying the video. Make sure you smash that subscribe But make sure you give me a thumbs up and do not skip those ads We got these last two orders and we done getting this bag. We get back at it again tomorrow. Let's go Order number one. Let's get it done, baby. Oh, I'll have to go on this other one because that's the door He said job at the front desk. Hello have delivery for a braided How you doing? No, I put $10 tip for the Thing but oh, I'm giving you a cash tip because I can't trace that one. I really appreciate it. Thank you very much, sir Because gas is insanely man. Tell me about it Thank you very much. I really appreciate it. You guys have a good one. I keep on going out the wrong door Guess what? Huge shout out to my god braided, baby. He just got us right. He just gave us $20 tip. He said he sent us $10 on the app too. So we're gonna check that and literally this was down the street, baby So that's $30, baby. That's all come on. Let's get this money So I'm gonna jump off this other one and see if they tip those two Honestly braided this I appreciate you. I really appreciate you. It was literally down the street. It was 1.2 miles away That's what I'm telling huge shots of braided. Let's go get the rest of this money, baby So I was just riding and thinking and guess what that was by for our greatest order ever, baby We only drove 1.2 miles at the order was ready already huge shots. I'm I got billy coup They're already ready. The order was already ready. I walked in there grab the order drove 1.2 miles It was literally down the street, baby. It's probably three lights away two lights away and we got $30 tip I'm talking about hey, this is why I say Always be good to people because it's stuff always come back around man The earth is it's just god just bless people who bless other people And you all try to be good to people man Because you never know and sometimes you may be having a good day Sometimes you may be having a bad day But still trying to be good to people as much as possible because god It always turn back around man. Just like they say you reap what you sow, baby So we reap what we sow on huge out of my god braiding one more year, baby Forget that's right. Let's go Hello, I have a delivery for bevelina h. Okay, she's had the day right now. Alrighty. Thank you Hello, here you go, man You're welcome. You have a good one And just like that. It's over with baby. We got busy and it is look you see the time. It's 12 40 shorty We was going to done about 12 30. Guess how much we got 231 64. We got that don't you already know we got busy, baby I hope you guys enjoyed the video make sure you lock in tomorrow because it's going back down Honestly today seemed like it was going somebody actually went pretty well It's especially cuz my god brave again. He came through he came through in the clutch We was gonna have 200 plus a day. He just pushed us over the edge, baby for that last order I got 37 dollars and 25 cents for 6.6 miles. Wow We went crazy. Did we baby? But I hope you guys enjoyed the video make sure you lock in tomorrow because it's going back down I told you we ain't playing around all 2022 it's bad season, baby We going we going we flowing you already know in the dk and i'm on my way