(calming music) >> Hello and welcome back to fabulous Las Vegas, Nevada. We're here at AWS re:Invent day three of our scintillating coverage here on theCUBE. I'm Savannah Peterson, joined by John Furrier. John Day three energy's high. How you feeling? >> I dunno, it's day two, day three, day four. It feels like day four, but again, we're back. >> Who's counting? >> Three pandemic levels in terms of 50,000 plus people? Hallways are packed. I got pictures. People don't believe it. It's actually happening. Then people are back. So, you know, and then the economy is a big question too and it's still, people are here, they're still building on the cloud and cost is a big thing. This next segment's going to be really important. I'm looking forward to this next segment. >> Yeah, me too. Without further ado let's welcome our guests for this segment. We have Brad from AMD and we have Rahul from you are, well you do a variety of different things. We'll start with CloudFix for this segment, but we could we could talk about your multiple hats all day long. Welcome to the show, gentlemen. How you doing? Brad how does it feel? We love seeing your logo above our stage here. >> Oh look, we love this. And talking about re:Invent last year, the energy this year compared to last year is so much bigger. We love it. We're excited to be here. >> Yeah, that's awesome. Rahul, how are you feeling? >> Excellent, I mean, I think this is my eighth or ninth re:Invent at this point and it's been fabulous. I think the, the crowd, the engagement, it's awesome. >> You wouldn't know there's a looming recession if you look at the activity but yet still the reality is here we had an analyst on yesterday, we were talking about spend more in the cloud, save more. So that you can still use the cloud and there's a lot of right sizing, I call you got to turn the lights off before you go to bed. Kind of be more efficient with your infrastructure as a theme. This re:Invent is a lot more about that now. Before it's about the glory days. Oh yeah, keep building, now with a little bit of pressure. This is the conversation. >> Exactly and I think most companies are looking to figure out how to innovate their way out of this uncertainty that's kind of on everyone's head. And the only way to do it is to be able to be more efficient with whatever your existing spend is, take those savings and then apply them to innovating on new stuff. And that's the way to go about it at this point. >> I think it's such a hot topic, for everyone that we're talking about. I mean, total cost optimization figuring out ways to be more efficient. I know that that's a big part of your mission at CloudFix. So just in case the audience isn't versed, give us the pitch. >> Okay, so a little bit of background on this. So the other hat I wear is CTO of ESW Capital. We have over 150 enterprise software companies within the portfolio. And one of my jobs is also to manage and run about 40 to 45,000 AWS accounts of our own. >> Casual number, just a few, just a couple pocket change, no big deal. >> And like everyone else here in the audience, yeah we had a problem with our costs, just going out of control and as we were looking at a lot of the tools to help us kind of get more efficient one of the biggest issues was that while people give you a lot of recommendations recommendations are way too far from realized savings. And we were running through the challenge of how do you take recommendation and turn them into real savings and multiple different hurdles. The short story being, we had to create CloudFix to actually realize those savings. So we took AWS recommendations around cost, filtered them down to the ones that are completely non-disruptive in nature, implemented those as simple automations that everyone could just run and realize those savings right away. We then took those savings and then started applying them to innovating and doing new interesting things with that money. >> Is there a best practice in your mind that you see merging in this time? People start more focused on it. Is there a method or a purpose kind of best practice of how to approach cost optimization? >> I think one of the things that most people don't realize is that cost optimization is not a one and done thing. It is literally nonstop. Which means that, on one hand AWS is constantly creating new services. There are over a hundred thousand API at this point of time How to use them right, how to use them efficiently You also have a problem of choice. Developers are constantly discovering new services discovering new ways to utilize them. And they are behaving in ways that you had not anticipated before. So you have to stay on top of things all the time. And really the only way to kind of stay on top is to have automation that helps you stay on top of all of these things. So yeah, finding efficiencies, standardizing your practices about how you leverage these AWS services and then automating the governance and hygiene around how you utilize them is really the key >> Brad tell me what this means for AMD and what working with CloudFix and Rahul does for your customers. >> Well, the idea of efficiency and cost optimization is near and dear to our heart. We have the leading. >> It's near and dear to everyone's heart, right now. (group laughs) >> But we are the leaders in x86 price performance and density and power efficiency. So this is something that's actually part of our core culture. We've been doing this a long time and what's interesting is most companies don't understand how much more efficiency they can get out of their applications aside from just the choices they make in cloud. but that's the one thing, the message we're giving to everybody is choice matters very much when it comes to your cloud solutions and just deciding what type of instance types you choose can have a massive impact on your bottom line. And so we are excited to partner with CloudFix, they've got a great model for this and they make it very easier for our customers to help identify those areas. And then AMD can come in as well and then help provide additional insight into those applications what else they can squeeze out of it. So it's a great relationship. >> If I hear you correctly, then there's more choice for the customers, faster selection, so no bad choices means bad performance if they have a workload or an app that needs to run, is that where you you kind of get into the, is that where it is or more? >> Well, I mean from the AMD side right now, one of the things they do very quickly is they identify where the low hanging fruit is. So it's the thing about x86 compatibility, you can shift instance types instantly in most cases without any change to your environment at all. And CloudFix has an automated tool to do that. And that's one thing you can immediately have an impact on your cost without having to do any work at all. And customers love that. >> What's the alternative if this doesn't exist they have to go manually figure it out or it gets them in the face or they see the numbers don't work or what's the, if you don't have the tool to automate what's the customer's experience >> The alternative is that you actually have people look at every single instance of usage of resources and try and figure out how to do this. At cloud scale, that just doesn't make sense. You just can't. >> It's too many different options. >> Correct The reality is that your resources your human resources are literally your most expensive part of your budget. You want to leverage all the amazing people you have to do the amazing work. This is not amazing work. This is mundane. >> So you free up all the people time. >> Correct, you free up wasting their time and resources on doing something that's mundane, simple and should be automated, because that's the only way you scale. >> I think of you is like a little helper in the background helping me save money while I'm not thinking about it. It's like a good financial planner making you money since we're talking about the economy >> Pretty much, the other analogy that I give to all the technologists is this is like garbage collection. Like for most languages when you are coding, you have these new languages that do garbage collection for you. You don't do memory management and stuff where developers back in the day used to do that. Why do that when you can have technology do that in an automated manner for you in an optimal way. So just kind of freeing up your developer's time from doing this stuff that's mundane and it's a standard best practice. One of the things that we leverage AMD for, is they've helped us define the process of seamlessly migrating folks over to AMD based instances without any major disruptions or trying to minimize every aspect of disruption. So all the best practices are kind of borrowed from them, borrowed from AWS in most other cases. And we basically put them in the automation so that you don't ever have to worry about that stuff. >> Well you're getting so much data you have the opportunity to really streamline, I mean I love this, because you can look across industry, across verticals and behavior of what other folks are doing. Learn from that and apply that in the background to all your different customers. >> So how big is the company? How big is the team? >> So we have people in about 130 different countries. So we've completely been remote and global and actually the cloud has been one of the big enablers of that. >> That's awesome, 130 countries. >> And that's the best part of it. I was just telling Brad a short while ago that's allowed us to hire the best talent from across the world and they spend their time building new amazing products and new solutions instead of doing all this other mundane stuff. So we are big believers in automation not only for our world. And once our customers started asking us about or telling us about the same problem that they were having that's when we actually took what we had internally for our own purpose. We packaged it up as CloudFix and launched it last year at re:Invent. >> If the customers aren't thinking about automation then they're going to probably have struggle. They're going to probably struggle. I mean with more data coming in you see the data story here more data's coming in, more automation. And this year Brad price performance, I've heard the word price performance more this year at re:Invent than any other year I've heard it before, but this year, price performance not performance, price performance. So you're starting to hear that dialogue of squeeze, understand the use cases use the right specialized processor instance starting to see that evolve. >> Yeah and and there's so much to it. I mean, AMD right out of the box is any instance is 10% less expensive than the equivalent in the market right now on AWS. They do a great job of maximizing those products. We've got our Zen four core general processor family just released in November and it's going to be a beast. Yeah, we're very excited about it and AWS announced support for it so we're excited to see what they deliver there too. But price performance is so critical and again it's going back to the complexity of these environments. Giving some of these enterprises some help, to help them understand where they can get additional value. It goes well beyond the retail price. There's a lot more money to be shaved off the top just by spending time thinking about those applications. >> Yeah, absolutely. I love that you talked about collaboration we've been talking about community. I want to acknowledge the AWS super fans here, standing behind the stage. Rahul, I know that you are an AWS super fan. Can you tell us about that community and the program? >> Yeah, so I have been involved with AWS and building products with AWS since 2007. So it's kind of 15 years back when literally there were just a handful of API for launching EC2 instances and S3. >> Not the a hundred thousand that you mentioned earlier, my goodness, the scale. >> So I think I feel very privileged and honored that I have been part of that journey and have had to learn or have had the opportunity to learn both from successes and failures. And it's just my way of contributing back to that community. So we are part of the FinOps foundation as well, contributing through that. I run a podcast called AWS Insiders and a livestream called AWS Made Easy. So we are trying to make sure that people out there are able to understand how to leverage AWS in the best possible way. And yeah, we are there to help and hold their hand through it. >> Talk about the community, take a minute to explain to the audience watching the community around this cost optimization area. It's evolving, you mentioned FinOps. There's a whole large community developing, of practitioners and technologists coming together to look at this. What does this all mean? Talk about this community. >> So cost management within organizations is has evolved so drastically that organizations haven't really coped with it. Historically, you've had finance teams basically buy a lot of infrastructure, which is CapEx and the engineering teams had kind of an upper bound on what they would spend and where they would spend. Suddenly with cloud, that's kind of enabled so much innovation all of a sudden, everyone's realized it, five years was spent figuring out whether people should be on the cloud or not. That's no longer a question, right. Everyone needs to be in the cloud and I think that's a no-brainer. The problem there is that suddenly your operating model has moved from CapEx to OpEx. And organizations haven't really figured out how to deal with it. Finance now no longer has the controls to control and manage and forecast costs. Engineering has never had to deal with it in the past and suddenly now they have to figure out how to do all this finance stuff. And procurement finds itself in a very awkward way position because they are no longer doing these negotiations like they were doing in the past where it was okay right up front before you engage, you do these negotiations. Now it's kind of an ongoing thing and it's constantly changing. Like every day is different. >> And you got marketplace >> And you got marketplace. So it's a very complex situation and I think what we are trying to do with the FinOps foundation is try and take a lot of the best practices across organizations that have been doing this at least for the last 10, 15 years. Take all the learnings and failures and turn them into hopefully opinionated approaches that people can take organizations can take to navigate through this faster rather than kind of falter and then decide that oh, this is not for us. >> Yeah. It's a great model, it's a great model. >> I know it's time John, go ahead. >> All right so, we got a little bumper sticker exercise we used to say what's the bumper sticker for the show? We used to say that, now we're modernizing, we're saying if you had to do an Instagram reel right now, short hot take of what's going on at re:Invent this year with AMD or CloudFix or just in general what would be the sizzle reel, that would be on Instagram or TikTok, go. >> Look, I think when you're at re:Invent right now and number one the energy is fantastic. 23 is going to be a building year. We've got a lot of difficult times ahead financially but it's the time, the ones that come out of 23 stronger and more efficient, and cost optimize are going to survive the long run. So now's the time to build. >> Well done, Rahul let's go for it. >> Yeah, so like Brad said, cost and efficiencies at the top of everyone's mind. Stuff that's the low hanging fruit, easy, use automation. Apply your sources to do most of the innovation. Take the easiest part to realizing savings and operate as efficiently as you possibly can. I think that's got to be key. >> I think they nailed it. They both nailed it. Wow, well it was really good. >> I put you on our talent list of >> And alright, so we repeat them. Are you part of our host team? I love this, I absolutely love this Rahul we wish you the best at CloudFix and your 17 other jobs. And I am genuinely impressed. Do you sleep actually? Last question. >> I do, I do. I have an amazing team that really helps me with all of this. So yeah, thanks to them and thank you for having us here. >> It's been fantastic. >> It's our pleasure. And Brad, I'm delighted we get you both now and again on our next segment. Thank you for being here with us. >> Thank you very much. >> And thank you all for tuning in to our live coverage here at AWS re:Invent, in fabulous Sin City with John Furrier, my name's Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (calm music)

(bright upbeat music) >> Hello everyone and welcome back to Las Vegas, Nevada. We're live from the show floor here at AWS re:Invent on theCUBE. My name is Savannah Peterson joined by my VIP co-host John Furrier. John, what's your hot take? >> We get wall-to-wall coverage day three of theCUBE (laughing loudly) shows popping, another day tomorrow. >> How many interviews have we done so far? >> I think we're over a hundred I think, (laughing loudly) we might be pushing a hundred. >> We've had a really fantastic line up of guests on theCUBE so far. We are in the meat of the sandwich right now. We've got a full line up of programming all day long and tomorrow. We are lucky to be joined by two fantastic gentlemen on our next segment. Brad, who's a familiar face. We just got to see you in that last one. Thank you for being here, you still doing good? >> Still good. >> Okay, great, glad nothing's changed in the last 14 minutes. >> 'no, we're good. >> Would've been tragic. And welcome, Mark, the CEO of Cloud Saver. Mark, how you doing this morning? >> I'm doing great, thanks so much. >> Savannah: How's the show going for ya'? >> It's going amazing. The turnout's just fantastic. It's record turnouts here. It's been lots of activity, it's great to be part of. >> So I suspect most people know about AMD, but Mark, I'm going to let you give us just a little intro to Cloud Saver so the audience is prepped... >> 'yeah, absolutely. So at Cloud Saver we help companies manage their Cloud spin. And the way that we do it is a little bit unique. Most people try and solve Cloud cost management just through a software only solution but we have a different perspective. There's so many complexities and nuances to managing your Cloud spin, that we don't think that software's enough. So our solution is a full managed service so we can plan our own proprietary technology with a full service delivery team, so that we come in and provide project management, Cloud engineering, FinOps analysts, and we come in and basically do all the cost authorization for the company. And so it's been a fantastic solution for us and something that's really resonated well within our customer base. >> I love your slogan. "Clean up the Cloud with the Cloud Saver Tag Manager'. >> Mark: That's right. >> So yesterday in the Keynote, Adams Lesky said, "Hey if you want to tighten your belt, come to the Cloud." So, big focus right now on right sizing. >> That's right. >> I won't say repatriation 'cause that's not kind of of happening, but like people are looking at it like they're not going to, it's not the glory days where you leave all your lights on in your house and you go to bed, you don't worry about the electricity bill. Now people are like, "Okay, what am I doing? Why am I doing it?" A lot more policy, a lot more focus. What are you guys seeing as the low hanging fruit, best practices, the use cases that people are implementing right now? >> Yeah, if you think about where things are at now from a Cloud cost management perspective, there's a lot of frustration in the marketplace because everybody sees their cost continually going up. And what typically happens is they'll say, okay we need to figure out what's going on with this cost and figure out where we can make some changes. And so they go out and get a cost visibility tool and then they're a little bit disappointed because all that visibility tool is completely dependent upon properly tagging your resources. So what a lot of people don't understand is that a lot of their pain that they're experiencing, the root cause is actually they've got a data problem which is why we built a entire solution to help companies clean up their Cloud, clean up their tags. It really is a foundational piece to help them understand how to manage their costs. >> I just.. >> Data is back in the data problem again >> Shocking, right? Not a theme we've heard on the show. Not a theme we've heard on the show at all. I mean, I think with tags it matters more than people realize and it can get very messy very quick. I know that this partnership is relatively new, six months, you told us before this show. Brad what does this partnership mean for AMD customers? >> Yeah, it's critical, they have a fantastic approach to this kind of a full service approach to cost optimization, compete optimization. AMD we're very, extremely focused on providing most cost efficient, most performance, and most energy efficient products on the market. And as Adam talked about, come to the Cloud to tighten your belt. I'll follow up. When you come to the Cloud, your choice matters, right? Your choice matters on what you use and what the downstream impact and cost is. And it also matters in sustainability and other other factors with our products. >> You know, yesterday Zeyess Karvellos one of our analysts on theCUBE, he used his own independent shop. We were talking about this focus and he actually made a comment I want to get your both reaction to, he said "Spend more in the Cloud, save more." Meaning there are ways to spend more on the Cloud and save more at the same time. >> Right. >> It's not just cut and eliminate, it's right side. I don't know what the right word is. Can you guys.. >> No, I think what you're saying is, is that there are areas where you need to spend more so you can be more efficient and get value that way, but there's also plenty of areas where you're spending money unnecessarily. Either you have resources that nobody's using. Let's find those and pull them to the front and center and turn them off, right? Or if you've over provisioned certain areas let's pull those back. So I think having the right balance of where you spend your money to get the value makes total sense. >> John: Yeah >> I like that holistic approach too. I like that you're not just looking at one thing. I mean, people, you're kind of, I'm thinking of you as like the McKinsey or like the dream team that just comes in tidies everything up. Makes sure that people are being, getting that total cost optimization. It's exciting. So who, I imagine, I mean obviously the entire organization benefits, but who benefits most? What types of roles? Who's using you? >> Right, so, Cloud cost management really benefits the entire organization, especially when times get tougher and everybody's looking to tighten their belt with cost. You know.. >> Wait every time when you say that, I'm like conscious, (laughing loudly) of my abdomen. we're in Vegas, there's great food, (laughing loudly) and we got, (laughing loudly) thanks a lot Adam, thanks a lot. (all laughing loudly). >> No, but it really does benefit everybody across the organization and it also helps people to keep cost management kind of front and center, right? No company allows people to have a complete blank check to go out there for infrastructure and as a way to make sure you've got proper checks and balances in place so that you're responsibly managing your IT organization. >> Yeah, and going back to the spend comment, spend more, you know, to save money. You know, look, we're going to be facing a very difficult situation in 23. I think there's going to be a lot of headwinds for a lot of companies. And the way to look at this is it's if you can provide yourself additional operating capital to work, there's other aspects to working with the business. Time to market, right? You're talking about addressing your top line. There's other ways to use applications and the services from AWS to help enable your business to grow even faster in '23 right? So '23 is a time to build, not necessarily a time to hang back and hope everything turns out okay. >> Yeah we can't go over it, (chuckles) We can't go under it, we got to go through it... >> Got to make it work >> Got to make our way through it. I think it's, yeah, it's so important. So as the partnership grows, what's next for you two companies? Brad will go to you first. >> Yeah sure you know, we're very excited to partner with Cloud Saver. It's fantastic company, have great team. And for us it's AMB is entering into the partnership space of this now. So now we've got a great position with AWS. We love their products, and now we're going to try to enable as many partners as we can in some specific areas. And for us cost optimization is priority number one. So you'll see a lot of programs that come out in '23 around this area. We're going to dedicate a lot of sales resources to help as many enterprise customers as we can, working with our close partners like Cloud Saver. >> Next ecosystem developing for you guys. >> Absolutely, absolutely, and you know AMD's they're still fairly new in the Cloud space, right? And this is a journey that takes a long time, and this is the next leg in our growth in the environment. >> Well, certainly the trend is more horsepower, more under the hood, more capabilities, customized >> Oh that's coming. >> Workloads. You're starting to see the specialized instances, you can see what's happening and soon it's going to be like a, it's own like computer in the Cloud >> Right. >> More horsepower. >> You think about this, I mean more than 400 instance types, more than 400 types of services out there in that range. And you think about all the potential interactions and applications. It's incredibly complex, right? >> Yeah that decision matrix just went like this in my brain when you said that. That is wild. And everyone wants to do more, faster, easier but also with the comfort of that cost savings, in terms of your customers priorities, I mean, you're talking to a lot of different people across a lot of different industries both of you are, I'm sure is cost optimization the number one priority as we're going into 2023? >> Yeah. Matter of fact, I have a chance to obviously speak with AWS leadership on a regular basis. Every single, they keep telling me for the past two months, every single CEO they're speaking to right now, it's the very first things out of the mouth. It's top of mind for every major corporation right now. And I think the message is also the same. It's like, great, let's help you do that but at the same time, is it not a bad time to re:Invest with some of those additional savings, right? And I think that's where the value of else comes into play. >> Yeah, and I think what you guys are demonstrating to also is another tell sign of this what I call NextGen Cloud evolution, which is as the end-to-end messaging and positioning expands and as you see more solutions. You know, let's face it, it's going to be more complex. So the complexity will be abstracted away by new opportunities like what you guys are doing, what you're enabling. So you're starting to see kind of platforms emerging across the board as well as more ISVs. So ISVs, people building software, starting to see now more symbiotic relationship, for developers and entrepreneurship. >> Yeah, so the complexity of the Cloud is certainly something that's not going to get any less as time goes on, right? And I think as companies realize that, they see it, they acknowledge it and I think they're going to lean on partners to help them navigate those waters. So that's where I think the combination of AMD and Cloud Saver, we can really partner very well because I think we're both very passionate about creating customer value, and I think there's a tremendous number of ways that we can collaborate together to bring that to the customers. >> And you know what's interesting too you guys are both hitting on this is that this next partner channel whatever you want to call it is very joint engineering and development. It's not just relationships and selling, there's integration and the new products that can come out is a phenomenal, we're going to watch. I think I predict that the ecosystem's going to explode big time in terms of value, just new things, joint engineering, API... >> 'it's so collaborative too. >> Yeah, it's going to be... >> 'well, the innovation in the marketplace right now is absolutely on fire. I mean, it's so exciting to see all the new technologies have on board. And to be able to see that kind of permeate throughout the marketplace is something that's just really fun and excited to be part of. >> Oh, when you think about the doom and gloom that we hear every day and you look around right now, everybody's building, right? And... >> this and smiling. >> And smiling, right? >> Paul: Today, (laughing loudly) >> Until Thursday when the legs start to get out. >> Yeah. >> Yeah, what recession? I mean, it's so crowded here. And again, this is the point that the Amazon is now a big player in this economy in 2008 that last recession, they weren't a factor. Now you got be tightening new solutions. I think you're going to see, I think more agility. I think Amazon and the ecosystem might propel us out the recession faster if you get the tailwind that might be a big thing we're watching. >> I agree. Cloud computing is inevitable. >> Yeah. >> It's inevitable. >> Yeah, it's no longer a conversation, it's a commitment. And I think we all certainly agree with that. So, Brad is versed in this challenge because we did it in our last segment. But Mark, we have a new tradition I should say, at re:Invent here, where we're looking for your 32nd Instagram reel, your sizzle your thought leadership hot take on the most important story or theme of the show this year. >> For the show as a whole. Wow, well, I think innovation is absolutely front and center today. I think, of the new technologies that we're seeing out there are absolutely phenomenal. I think they're taking the whole Cloud computing to the next level, and I think it's going to have a dramatic impact on how people develop applications and run workloads in the Cloud. >> Well done. What do you think John? I think you nailed it. >> Nailed it. Yeah, want to go for round two? >> Sure. >> Sure, I'll give a shot, (laughing loudly) So... >> 'get it, Brad. >> So, when in public Cloud choice matters? >> It matters. Think about the instance types you use think about the configurations you use and think about the applications you're layering in there and why they're there, right? Optimize those environments. Take advantage of all the tools you have. >> Yeah, you're going to start tuning your Cloud now. I mean, as it gets bigger and better, stronger you're going to start to see just fine tuning more craft, I guess. >> Mark: Yeah. >> In there, great stuff. >> Paul, and in these interesting times, I'm not committed to calling it a recession yet. I still have a chart of hope. I think that the services and the value that you provide to your customers are going to be one of those painkillers that will survive through this. I mean we're seeing a little bit of the trimming of the fat, of extraneous spending in the tech sector as a whole. But I can't imagine folks not wanting to leverage AMD and Cloud Saver, it's exciting, yeah. >> Saving money never goes out of style right? (laughing loudly) >> Saving money is always sexy. I love that, yeah, (laughing loudly) It's actually really... That's a great line goes on. Mark, thank you so much for being here and sharing your story with us. We really appreciate it, Brad. It's been a fabulous thing. You're just going to stay here all day, right? >> I'll just hang out, yeah. >> All right. >> I'm yours. >> I love that. And thank you all for tuning to us live here from the show floor at AWS re:Invent in fabulous sunny Las Vegas Nevada with John Furrier, I'm Savannah Peterson you're watching theCUBE, the leader in high tech coverage. (bright upbeat music)

(upbeat music) Welcome back to theCUBE's coverage of AWS re:Invent 2021. I'm John Furrier, host of theCUBE. We have George Watkins, the product marketing manager, cloud gaming and visual cloud at AMD. George, thanks for coming on theCUBE. >> Thank you for having me. >> Love this segment, accelerating game development. AWS cloud, big topic on how the gaming developer environment's changing and how AMD is powering it. Let's get into it. So streaming remote, working remote, flexible collaboration, all powered by the G4ad virtual workstations, it's been a big part of success. Take us through what's going on there. >> Yeah, certainly. So obviously from a remote working perspective, there was a huge impact on collaboration and productivity for many industries out there. But, a collaborative environment like game design, it was even more so. First off, happy to have these big bulky workstation ship to local artists, so they can actually carry on working was a massive nightmare for IT management. Making sure that they have the right hardware, the right resources, the right applications and security. So it was a real mean task. And on top of that, working remotely also brings in other efficiencies when it comes to collaboration. So for example, working on a data sets, as I mentioned before, it's a huge team collaboration effort when it comes to game development, and using the same dataset happens very very often. So if you're actually working remotely and an artist, for example pulled a dataset, from a server, worked on it, then took it back up into the cloud. I'll tell you now, it takes some time to do. And at the same time you might have one or two other artists trying to use that data set. The problem or the big issue that comes here is version control. And essentially because these artists are using the older version, there's creating errors, and keeping that production timed longer. So it's very very inefficient. And then this is where the cloud really comes to end zone. First off the cloud, and then obviously in this case, the AWS cloud, with G4ad instances, really does bring the whole pipeline together. It brings the data sets and the virtual workstations, obviously, as I mentioned, G4ad, as well as all the applications into one place. It's all centralized. And from an IT perspective, this is fantastic. And actually sending out a workstation now is really really simple. It's log in details into an email to your new staff, and there's some really great benefits as well from a staff perspective. Not only are they not tethered to a local workstation, they have the flexibility of work where they need to, and also how they like to. But it's also really interesting about how they work on a day-to-day basis. So a good example of this is, if a artist is using or working on a very very heavy dataset and the configuration from their VM or virtual workstation, isn't up to snuff because of the such a large dataset, all they need to do is call up IT and say, I need more resource. And literally in a couple of minutes time, they can actually have that resource, again, improving that productivity, reducing that time. So it's really really important. And just a final note here as well, with having all that data and all that resource in the cloud, version control tools, really do help bring that efficiency as it's all built into the applications and that data sets really, really exciting staff and ultimately, bring in that productivity and reducing that time and errors down. >> I could see your point too because, when you don't bring it to the cloud, people are going to be bored, waiting for things to happen. And they say I want to take a shortcut. Shortcuts equal mistakes. So, I can see that the G4ad with focus for artists is cool because it's purpose-built for what you're talking about. So take me through how you see the improved efficiencies in the development pipeline with cloud computing around this area because, obviously it makes a lot of sense. Everything's in the cloud, you've got the instances there. Now what happens next? How does the coding all work? What's going on around the game development pipeline? >> 3D applications today, particularly at use in the game industry, I'll be honest, they are still based on legacy hardware. And what I mean by this is that the applications typically require higher CPU Hertz the typically single threaded, maybe some kind of multi threaded functionality there. But generally they are limited by what the traditional workstation has been. And obviously why not? They've been built over the last 10-15 years to access that type of data. Now that is great, but it's not accessing what could be, all the resources that are available in the cloud. And this is what's really really exciting in my part. So ultimately what we're saying is that is that you have this great virtual workstation experience. You have all your applications running on there, you can be efficient, but then there's these really specific and really interesting use cases that aren't accessing the cloud. And I've got a couple of examples, so first off there's a feature inside Unreal 4 engine, called Unreal Swarm. And this feature helps actually reduce the time it takes, in this case and to bake light maps into auto scale, to bake light maps into a game. And this is done by auto scaling, the compiling in AWS cloud. So for example, after making the amends to a light map, we're ready to essentially recompile, but instead of doing this on the local workstation, using the traditional CPU and memory resource, which you would expect to see in a workstation, and actually in this case, it takes around about 50 minutes to do. When you actually use Unreal Swarm, you can, the coordinator as part of this functionality, bursts the requirement or the actual compiling into the cloud. And actually in this case, it's using, like, 10 C5a instances. So these are all CPU high-performance computing instances. And because you have this ability to auto-scale, you actually essentially bring that time, that original 50 minutes, down to 4 minutes. And this type of kind of functionality or this type of task that you would typically see with a 3d artist or with a programmer, basically happens multiple times a day. So when you start factoring in a saving of 45 minutes multiple times a day, it starts really bringing down, the amount of time saved, and obviously the amount of cost saved as well for that artist's time. So it's really really exciting and, certainly something to talk about. >> That's totally cool. I got to ask you since you're here, because it brings up the question that pops into my head, which is okay. What's the state of the art development trends that you're seeing because, on the cloud side, on non gaming world, so shift left to security. You start to see more agile kind of methods around what used to be different modules, right? So you mentioned compiling, acceleration, what's going on in the actual workflows for the developers? What are some of the cool things that you could share that people might not know about that are important? >> Well certainly it's really about finding, those bursty computational expensive and time consuming processes, and actually moving them to the cloud. So really, from a compiling standpoint, they are usually CPU bound. So essentially the GPU does all the work when it comes to the view pole, all that high rendering frames per second, that's what it's really designed for. And it does a very good job with that. But actually the compiling aspect, the compute aspect is all done on the CPU side. And, the work that we've been doing with AWS and the game tech team is actually finding certain ways of actually helping to reduce the compiling nature because ultimately that is always restricted by the amount of calls that you actually have on a local device. So again, another example is there's a company out there called Incredibuild, and they specialize in accelerating the development of that programming code. And obviously in this case, it's the game code. And if an artist, entered a clean source code built on unreal engine full, it would take approximately around about 60 minutes to do on a local machine. However, using the Incredibuild solution to accelerate that type of workload, you can complete it in just 6 minutes. Because again, it's auto scaled out that compiling to several in this case 16 C5a large instances, which essentially reduces all that time for the artist freeing them up to do more stuff. >> And the more creativity is just the classic use case of the clouds, beautiful thing. It's just reminds me of how good this is, because, when you think about what you guys are doing, pushing the envelope for cloud with the creators. gaming is such a state-of-the-art pressure point to make high performance come better. It really is putting a lot of pressure on AMD and everyone else's to get faster and stronger because, it truly is pushing state-of-the-art in general. It's always been that way. If you look at the gaming world. This is a whole 'nother level. I mean, you starting to see that. What's your view on that? If you look at the gaming as a tail sign for the trends and the tech side, better, faster, cheaper processors and speeds and feeds, and how codes work in between processes GPU's and CPU's, all this is cool. All kind of new, if you will. New patterns, new usage, what's your view on that? >> Well certainly, cloud gaming is a really exciting topic and, we believe that cloud gaming with the introduction of various key elements are reading revolutionalize the way that some people are actually using their complaint gamings and interacting with games. And what I mean by this is like, today we can do cloud gaming, it's a fantastic experience. You're usually hardwired, using a broadband connection to actually play those games. And you tend to try and be close to an actual data sensors, to try to reduce that latency. However this is only going to get better with the introduction of 5G coverage and also just, as important edge computing. And because of these two elements, what we're going to be seeing is very high speeds wirelessly, and more importantly, low latency. And this is very important for, that very dynamic cinematic gaming experiences. But not only this, what it can actually do is bring, 4k, 8K gaming to people wirelessly. It can also bring VR and AR experiences wirelessly, and also it can access, these new emerging technologies that are making higher fidelity gaming experiences like hardware retraces. All this can be done with these new technologies. And it's incredibly incredibly exciting. But more importantly, what's really great about this is, from a game publisher perspective, because it's actually helping them simplify their business processes, particularly from a game development standpoint. And actually what I mean by this is, if we take a typical example of what a game developer has to do for a mobile game, there's certain considerations that they need to think about when they actually comes to developing and validate. First off they'll have to understand what type of OS to account for. And actually what type of version of that OS to account for. What type of IPA they're going to be building on. And also finally, what type of resources, are actually on that end point device. So there's a lot of considerations here, and a lot of testing. So ultimately a lot of work to get that game out, to those gamers who might be on a couple of these different mobile platforms. However, when it comes to game streaming, it really does kind of change all this because ultimately what the game developer is actually doing is that they're developing and they're validating on one source. And that is going to be the server that is essentially pairing that game streaming service. Because how game streaming works is that we essentially trans code the actual game via H.264 to a software client on any end point device. So this could be those mobile devices I just mentioned. It can also be TVs, it could be consoles, it can be even low powered laptops. And what's very exciting is that, from an end user perspective, they're getting the ultimate in gaming experiences and usually these types of solutions are traditionally subscription-based. So you're actually reducing the requirement of this kind of high-end thousands of dollars gaming solution or simply a high-end next gen console. All of this is actually been given to you and delivered as part of a game streaming service. So it's very very exciting and, certainly we can see the adoption on both the game development side, as well as the gamer's side. That's a great way to put an end to this awesome segment. I think that business model innovation around making it easier, and making it better to develop environment, that's just how they work. So that's good, check. But really the business model here, the gaming as a service, you're making it possible for the developer and the artist to see an outcome faster. That's the cloud way. >> Thank you >> And they doubled down on success and they could do that. So again, this is all new and exciting and certainly the edge and having data being processed at the edge as well. Again, all this is coming in to create more good choice. Thank you so much for coming on and sharing that insight with us from the AMD perspective. And again, more power, more speed, we always say, no one's going to complain, they get more compute, that's what I always. >> Absolutely absolutely. >> Thanks for coming I appreciate it. >> Thank you. >> theCUBE coverage here at AWS re:Invent 2021. I'm John Furrier host of theCUBE. Thanks for watching. (upbeat music)

(bright music) >> Welcome back to theCUBE's coverage of AWS re:Invent 2021. I'm John Furrier, your host of theCUBE. We have Michael D´aniello, platform architect at VMware's Carbon Black. Michael, great to see you. We're here at re-Invent virtual hybrid in person. Great to have you on theCUBE. Thanks for coming on. >> Yeah, thanks a lot. Glad to be here. >> So one of the big stories that we're tracking, obviously, is workloads. All cloud for all workloads. Obviously the data is a big part of things, but under the covers and optimizing cloud for the application developers, this modern application movement is more and more at the top of the stack. People just wanting to code. Infrastructure as code. You've seen DevSecOps is a big trend that's driving all new microservices, all new greatness for developers, but still, there's an optimization question. I want to get your thoughts on this, is what you do. Take a minute to explain what your role is at Carbon Black around this cloud optimization. >> Yeah, absolutely. Yeah, so my name is Michael D'aniello. I am a platform architect of VMware Carbon Black. I work across all the different engineering teams. And our main objective is to develop scalable platform tools and that includes, yeah, cloud security, automation pieces, pipelines, cost optimization, like we'll be talking about today, developer enablement tooling and observability tooling. >> One of the big things about instances is that, you know, do I have enough instances? 'Cause honestly, the elastic cloud is amazing, all kinds of new resources there, but talk about the AMD portion of the instances. How do we identify these instances? How to developers understand it, what's in them, and what's the selection criteria? Take us through that whole process of the Amazon web service and the AMD instances. >> Yeah, sure. So essentially, we're leveraging a lot of our instances to run our EKS clusters, which is a managed service for me and for us to run our Kubernetes clusters. And we identify that we can take a bunch of those instances and gain some cost optimization benefits by selecting from Intel to AMD processors. And, you know, initially, we had measured out to be roughly a 10% reduction in cost just for selecting that instance type. But yeah, we actually learned we gained quite a bit more, so. >> John: You know, developers are always like, I want more power, and this is what, you know, the whole idea of Cloud is. Cloud scale has been a big competitive advantage, but also the cost aspect of it. What's the balance between maximizing performance and cost optimization? Because now, you know, people don't want to, you know, they want more power. They also don't want to have a lot of extra spend. And this is kind of one of those things they talk about in Cloud where it's been so successful, cost is important. >> Yeah, yeah, for sure. And it's got to be easy, too, to get that cost optimization benefit. Otherwise, you're spending all your cycles and burning that money there in the human capital and the team and the engineering effort. So luckily, this change is a one-line change. We use Terraform for our automated provisioning, a layer, and we were able to make that one line change and then developers didn't have to make any application changes, which was great. So it was a no-brainer for us to pursue this. >> Talk about the EC2 instances that leverage AMD based process for the EKS, you mentioned that earlier, what is that all about? What's the benefits, what's in it for you guys? >> Yeah, for sure. So essentially, the workloads that are running on these instance types are actual Carbon Black Cloud application. So, all the backend systems that support our customers. And so in that use case, we're, you know, we're spinning up all of our containers that are running our applications and essentially, that's our use case for those instance types. >> How did you come to use the AWS EC2 instances on the AMD? Did you have an evaluation process? Did you just go select it? I mean, take us through that migration aspect of it. >> Yeah, sure, yeah. So originally, we're looking across the board. How can we do better cost optimization, right? And that goes across every different AWS resource, but we targeted this one specifically. We worked alongside with their AWS TAMs and representatives to basically find out, "Hey, is this financially worth the effort?" And we did reach that conclusion with some analysis, basically targeting these instance types and doing some analysis on that cost optimization specifically. And it ended up, you know, being the right thing to target. >> What was the ease of use of the switch? Take us through that. Was it a heavy lift? Was it seamless? Take us through the impact, there, on the move over and what were the results of that? >> Yeah, so I mean, that's the greatest thing. Like I said before, I mean, we had to make just a single line change just to change that instance type in our config and then roll that out across our regions. We did slow roll that in order to make sure that those changes in our development environments didn't make any, you know, performance hits or we didn't run into any snags with the applications themselves. But yeah, I mean, that's the greatest part about the story from my perspective is the ease to migrate over and to switch to these instance types, and then you just immediately gain that cost optimization benefit. >> You know what I love about what your job is, platform architect, that word kind of had a lot of meaning even 10, 15 years ago, but now with the Cloud, it's almost like you're always finagling and managing and massaging and nurturing the infrastructure to enable it. More new things are coming online as well, more high level services. So you've got a fun job and it's always evolving. How do you stay on top of it? What's the impact been for your customers, too, as you start deploying some of these new instance capabilities? Take us through kind of a day in the life of what you do and then what's the impact of customers? >> Yeah, sure. So, you know, like you said, there's quite a bit now to look at. You know, you got to stay on top of different blogs and keep connected with your network to see what your other colleagues are doing across different companies. You know, you can go into conferences like AWS re:Invent, right, to keep on the cutting edge here. But yeah, that's essentially, you know, one of the key aspects is just trying to look at all the different aspects, all the new technologies that are coming out, making sure you're making the right choices there and trying to get the most bang for your buck while you're at it. >> What are some of the big factors that you see in cloud native as you start to look at what customers are doing? Obviously with Kubernetes, your starting to see that platform develop inside the industry as well as defacto, kind of orchestration layer. But now as customers start to look at it, they want to have more ease of use there, too. At the same time, they don't want to have to do a lot of front end work. They want to get instant benefits in the Cloud, obviously, whether it's from a security standpoint or just rolling out a modern application. Okay, so as having all this infrastructure under the covers, how do you look at that problem and how do you capture that opportunity? >> Yeah, and I think that's why we're seeing a movement here on platform teams. It's kind of a newer terminology, usually a band of developers and SREs come together and say, "Well, we've got a lot of different things to look at. We're onboarding applications to Kubernetes, and we need to make tools so that developers don't have to think much about the transition and the underlying platform." And so that's one of our success metrics on the platform engineering team is just to almost, you know, be non-existent, right? To just have everything flow through our systems and then have just a high ease of use to onboard the applications to the new platform. >> You know, it looks like you have some great success with the AMD based instances. Can I ask you a question? 'Cause I wanted figure this out. How do you identify an AMD based instance when you're making the selections? >> Yeah, sure. It's as easy as just the A after the name. So for us, it was the C5.4XL. And if you want the AMD one, it's just the C5A.4XL. So I guess technically, instead of a one line change, it's actually a one letter change. So, quite easy there. >> Yeah, it's almost like back in the old glory days of command line, one quick update. The customer aspect of this is also important, too. If you don't mind, while I got you here, what are some of the things that you're hearing from your customers, from a performance standpoint, that they're looking for? Obviously, the cost optimization is key, but as they look to deploy more power and more performance, what are some of the things that your customers are looking for from Carbon Black? >> Yeah, so I mean, we are a security company, but we're really a data company because we have, you know, 8,000 customers, we processed over a trillion events per day, we ingress over a hundred terabytes of data per day. And so, our customers need high level performance. And if we can't provide that with low latency, we're not successful. So that's why, you know, performance on the underlying systems that are running our applications is super critical. >> Yeah, you're looking at trailblazer over there. I mean, the work that you guys are doing with the data is amazing. And that's a big theme at re:Invent this year is that data is a huge part. We look at the success of the cloud growth on this, I call gen-two cloud, happening. This whole modern movement is all about how people handle the data at scale, 'cause cloud scales here and now you've got processing all that data, The trailblazing that's going on, there's like this new wave of, I almost called it first-generation trailblazers, but you guys are doing that. What advice would you have for other architects out there and kind of the mainstream enterprises who are like, "Hey, I want to take advantage of the path that you guys have plowed through." What's your advice? >> Yeah, I think one of the key things in a place where we've had a lot of success is creating standards, making sure that we're choosing technology wisely, and making sure that your company isn't building the same solution in silos. And you know, that's a huge pattern that I've seen in my career. And if you can negate that, you're going to be in a great place. So, you know, choose the right technology, container first, cloud native first, push forward, and then make sure that everybody's kind of on that same ship running in the same direction. >> Well, great case study on this AMD based instance migration. Was there any uplift and experience that you've seen on the switch and the performance? Can you just talk about that? What does it mean to upgrade? What benefits are you seeing on the performance you have? >> Yeah, so I didn't hit on this yet and I really wanted to. Yeah, so upfront, the instance itself is 10% cheaper. However, we found out that we had to run far less instances because of that performance increase. So we ended up saving roughly 30% and we've continued to scale out. So at first, it was a couple of hundred instances. Now we're in the thousands and we're going to keep ramping up to over 10 thousands, tens of that. >> John: Let me get this right. So single line change, letter change, instance change. So you get not as many instances, and you save money, so you get cost optimization and higher performance. >> Yep. They say, if it's too good to be true, it's not. But in this case, it actually is. >> So why is it so good in your opinion? What did you discover? What was the big revelation that went down this path? Because that's good value proposition. >> Yeah, for sure. I mean, so initially, we were just chasing that initial BC to 10% and then as we kind of push it forward, we're looking at the metrics, month to month costs and we're actually saying, well, as we kind of swap over from one instance type to another, we're actually paying less. And then once we fully swapped over, it took five or six months to get to the same amount of costs as we continued to scale upward. So it's been a great story. >> It is a great story. It's super nuanced, but it's super important to know these platform benefits. I got to ask you on a personal question, if you don't mind. We love covering Cloud. We've been covering Amazon, it's our ninth year at re:Invent. Just love covering all the action and tech as this just total awesomeness environment. Cloud scale, innovation, capabilities, it's like surfing a big wave. But there's a bigger wave coming and we're seeing it now. I want to get your thoughts on this. As you look to the next big wave, beyond Cloud now, Cloud scale, data, new architecture is rolling out with Edge, basically distributing computing at large scale, and tons of security challenges, right? How do you look at this next big wave coming? Are you staring at it saying, wow, this is going to be huge? And how do you ride that wave? What's your mindset and how do you look at that? >> Well first of all, I'm extremely excited about it. Just the further this thing grows out, there's definitely more complexity, but just a whole slew of fun problems to solve. But when we look at these different problems and solving them at scale across multiple regions, it gets pretty exciting, right? So I can say one example of this is our security of our Cloud, not the security product, and we've developed automation for prevention and auto-remediation in our pipelines. It's been such a success story. And these type of technologies did not exist even a couple of years ago and we've been able to take advantage of them. So, there's going to be a lot more of that where that came from. So, yeah. >> Michael, great work. And again, you're truly a trailblazer, and this is, again, you got to do it. You got to screw your own cloud and stay on the cutting edge and ride that wave. Congratulations on the CostOp cloud optimization and the success with AMD based instances. Congratulations. Thanks. >> Thanks. >> Okay, this is theCUBEs coverage of AWS's re:Invent 2021. I'm John Furrier, your host of theCUBE. Thanks for watching. (inspirational music)

foreign continued coverage of AWS re invent my name is Savannah Peterson and I am very excited to be joined by two brilliant blokes in the space of efficiency and performance whether you're on Prem or in the cloud today's discussion is going to be fascinating please welcome Brad and Simon to the show how are you Simon coming in from the UK how you feeling well thank you excellent and Brad we have you coming in from Seattle how are you this morning doing fine thank you excellent and feeling bookish given your background love that I know that you both really care about efficiency and performance it's a very hot topic both of the show and in the industry right now I'm curious I'm going to open it up with you Simon what challenges and I think you've actually continued to tackle these throughout the course of your career what challenges were you facing and wanting to solve when you started yellow dog um really we're just looking at cloud and coming from an on-premise environment really wanted to be able to make accessing Cloud particularly a volume to be simple and straightforward um if you look at today at the number of instance types available from the major Cloud providers there's more than seven thousand different instance types whereas on-prem you go along you select your processes you select your systems it's already be really easy when you hit the cloud you've just got this amazing amount of choice so really it was all about how can you make Intelligent Decisions for you know are you going to run your workload how to match it with what you've got on premise and that was really the inspiration for Rafael so staying there for just a second what does yellow dog provide customers is a SAS system so um you get to it by accessing through the yellow platform and what it allows people to do is to be able to make Intelligent Decisions about where to run their workload would that be on premise or in the cloud it has a wealth of information it understands the costs the performance the latency and the availability of every different instance type in all different clouds it really allows people to uh to be able to make use of that information provision exactly what they need and to be able to run their workloads yeah it also includes a provisioner and it also includes a scheduler as well which is a cloud native scheduler so it's designed to be able to cope with um with cloud in terms of things like spots and interruptions and be able to uh to reschedule and fail over between clouds if there's ever need to do so yeah that sounds incredible and I know this means a lot for partners like AMD Brad talk to me about the partnership and what this means for AMD for your customers yeah absolutely it you know we're excited to be aligned with the uh with a company like yellow dog it's it's um you know the the importance of compute is becoming more and more prevalent every day and it's it's always been top of mind but especially now when you think about what the uh what the economy and the rest of the world is kind of facing over the next you know probably a year or longer it's so important that um that you're able to maximize your dollars and your spend and doing away with uh with uh with absolute certainty that you've got the right type of people behind you uh ensuring that you're your dollars are being spent very wisely and the great thing about yell dogs that they have tremendous insight into uh into cost optimization computer optimization across the entire Globe their their indexes is quite remarkable and what it does is it allows uh customers to actually see just how performant and cost efficient AMD is so it allows us to really put our best foot forward and and gives customers a chance to understand something that they probably weren't uh more familiar with the fact that uh that AMD uh is a tremendous a tremendous value in the marketplace yeah and and uh Simon can you tell us a little bit more about the yellow dog index I'm glad you brought that up Brad yes the yellow index is uh is essentially it's live it's available for anyone to access you can just go to index.yam.tech and you'll be able to see pretty much every single instance type that's available from all the major Cloud providers and be able to make your selection are you looking for GPU type nodes are you looking for AMD processors are you looking just for performance essentially what you're able to do is create a live view of effectively what's available in different data centers around the world and the price at this moment in time also just uh as Brad mentioned in terms of you know cost efficiency and uh and being taking green values seriously as we should we should do the yellow index also has the ability to be able to see at that point in time where the best place to be at a runner job is based upon the lowest carbon impact of running at this moment in time and that for many organizations gives an amazing Insight in not just about being able to find the the understand fishing processes but being able to ensure the greenest energy possible is powering that process when you want to be able to run your workload it's so powerful what you just said and I think when we exactly it's not just about it's not just about power but it's about place when we are are looking at Global Computing at scale what I know that there's ESG advantages in and ESG being a very hot topic when we're talking about AMW on AWS and and and leveraging tools like yellow dog what other sorts of advantages Beyond being least carbon impactful can your Mutual customers benefit from so it's not like I say there's many other features you know a very important thing when you're running a high performance Computing workload is being able to match the instruction set that you're running on premise and then being able to use that in the cloud as well and also to be able to make Intelligent Decisions of where should something run should would something be more efficient um to build on premise should we always try and maximize our on-premise resources before going into the cloud there's a lot about being able to just be able to make decisions and yellow itself it makes thousands of decisions per second to be in a workout where the the best and most optimized places to to run your workload yeah so Brad you work with a lot of companies at scale what type of scale is possible when leveraging Technologies like AMD and yellow dog combined well you know I love the fact that you mentioned uh you know HPC and it's one of the areas that actually is most exciting for for me personally and for and for AMD with the combination of yellow dog and AWS and AWS launched the very first HPC uh instance type last year and you know we're we're we haven't even begun to answer a question we haven't gotten to see um the full-scale capability in the cloud when it comes to these uh these very coordinated and very refined workloads that are running at massive scale and and uh you know we've got some some products we'll be launched in the near future as well that are incredibly performant and you know to be honest I don't think I don't think we have even come close to seeing the scale relative to somebody's very optimized workloads in HPC uh that that we're capable of so um we're excited we're excited for the next few years to see how how we can wrap in um some of the tremendous success that AMD has had on-prem in these these these massive compute centers and replicating that same success inside AWS with companies like yellow dog it's uh it we're excited to see what uh what's what's going to come forward can you give us a preview of anything on the record that gets you really excited about the future I was going to ask you what what had you looking forward to 2023 and Beyond but nothing well not nothing official of course uh but um I will say this you know AMD has recently successful had the launch for Genoa uh it's our next next-gen release and it is um it is proving to be it absolutely is the dominant compute engine it at this point that exists and you know when you start to couple that with the the prowess of AWS you know you could see that over time becoming something potentially that um you know um can really start to change the compute landscape quite a bit so we're hopeful that you know in the future we'll have something along those lines uh with AWS and others and um we're very uh we're very bullish in that area love it uh Simon what about you you've been passionate about low carbon I.T for a long time is carbon neutral Tech in our future what I realize is a bold and lofty claim for you but feel free to give us any of your future predictions um yeah so well I started here trying to build solutions for you know many years ago so 2006 um I was part of a team that launched the the world's lowest powered Windows PC that was actually based on the AMD technology back then so uh you can tell that AMD have been working on a low power for us for a long time in terms of carbon neutral yes I think um certainly there's a there's a few data centers around the world now that are getting very close to uh to carbon neutral some of which may have already achieved it so that's really interesting but so you know the the second part of that is really the the manufacturer of everything that goes into those Services systems and being able to to get to uh you know a net zero on those over a period of time and when we do that which is yeah not without challenges but but certainly possible then we really will have carbon neutral I.T which will be uh a benefit to everyone you know mankind itself yeah casual statement and I have to say that I wholeheartedly agree I think that it's one of the greater challenges of Our Generation especially as what we're able to do in HPC in particular since we're talking about it is only going to grow and scale and magnitude and the amount of data that we have to organize certain process is is wild even today so I love that I'm curious is there anything that you can share with us that's in the pipeline for Yellow Dog anything coming up in the future that's very exciting um so we're coming up very soon um we're going to release something called um version 4 again log which contains um what we call a resource framework which is all about making sure you've got everything you need before you run a job either on-prem or in the cloud so that might be anything from making sure you've got the right licenses making sure that your data is all in the right location making sure you've got all aspects of your workflow ready before you start launching compute and start really but you know burning through dollars with computer could potentially sat there uh not not doing anything until other tasks keep catch up so we're really excited about this new V4 release which will uh which will come out very soon awesome we can't wait to learn more about that hopefully here again on the cube Brad what do Partnerships with companies like yellowdog meme for you and for the customers that you're able to serve yeah it's it's incredibly important I it's you know there's one of the difficulties in in compute that we have today especially in Cloud compute there's there's so much available at this point I mean there was a point in time it was very simple and straightforward it's not even close to being that anymore green so you know one of the things I love about yellow dog itself is actually it does a great they do a great job of making very complex situations and environments fairly simple to understand especially from a business perspective and so one of the things that we love about it is it actually helps our customers you know the AMD direct customers better understand how to properly use our technology and to get the most out of it and so it's difficult for us to articulate that message because you know we are a Semiconductor Company so sometimes it's a little tough to be able to articulate workloads and applications in the way that our customer base will be able to understand but you know it's it's so critical to have companies like yellow dog in the middle that can actually you know make that translation for us directly to the customer um you know and and especially too when you start thinking about ESG and environmental relationships and I'd like to make a comment and one of the things that is fantastic about AMD AWS and yellow we all share the same Mission and we're very public about those missions about just being better to the to the planet and um you know AMD has taken some very aggressive uh targets through 2025 much beyond anything that the industry has expected and you know because of that we are you know we are the most um we are the most power efficient xa6 product on the marketplace and it's not even close and you know I look forward to the day when uh you know you start looking at instance types inside these public Cloud providers in conjunction with the old dog and you can actually even start to see maybe potentially what that carbon footprint is based on those decisions you make on compute and um you know considering that more than half to spend for everybody is generally compute in these environments it's critical to really know what your true impact in the world is and um it's just one of the best parts about a partnership like this oh what a wonderful note to close on and I love both the Synergy between all the partners on a technology level but most importantly on a mission level because none of it matters if we don't have a planet that we can continue to innovate on so I'm I'm really grateful that you're both here fighting a good fight working together and also making a lot of information available for companies of all different sizes as they're navigating very complex decision trees in and operating their stack so thank you both Simon and Brad I really appreciate your time it's been incredibly insightful and thank you to our audience for tuning in to our continuing coverage of AWS re invent here on thecube my name is Savannah Peterson and I look forward to learning more with you soon foreign [Music]