>>from around the globe. It's the Cube with digital coverage of AWS >>reinvent 2020 sponsored >>by Intel, AWS and our community partners. Welcome back to the cubes. Virtual coverage of AWS reinvent 2020. It's virtual this year. We're not in person, so we're doing remote interviews. Part of the three weeks we'll be covering wall to wall a lot of great conversations. News to cover and joining me today Off Fresh off the news off Andy Jackson's keynote, We have two great guests here. Jason Kapoor, senior product manager for Accelerated Computing at A. W S and eight time Medina Chief business officer, Havana Labs, which was recently acquired by Intel Folks. Thanks for coming on, gentlemen. Thank you for spending the time for coming on the key. Appreciate it. >>Thanks for having us. >>J Town. So talk about the news, actually. Uh, computers changing. It's being reinvented. That's the theme from Andy's keynote. What did Andy announced? Could you take a minute to explain the announcement? What services? What ap What's gonna be supported? What's this about? Take a minute to explain. >>Yeah, absolutely. Yeah. So today >>we >>announced our plans to launch and easy to instance based on hardware accelerators from Havana labs. We expect these businesses to be available in the first time from next year. And these air custom designed for accelerating training off deep learning models, a zoo we all know like training of deep learning models is a really competition. Aly extensive task. Oftentimes it takes too long and cost too much. And we're really excited about getting these instances out of the market as we expect for them to provide up to 40% better price performance. Thani on top of the line GPU instances, >>a lot of improvements. Why did anybody do this? Why heaven or what's the what the working backwards document tell you? What is it customers looking for here is or specific use case? >>Yeah, absolutely. So, you know, over the years, uh, the use of machine learning and deep learning has, like, really skyrocketed, right? So we're seeing companies from all the way like 14, 500 to like start ups just reinventing their business models and use using deep learning more pervasively. Right. So we have companies like Pinterest, you know, you'd use deep learning for content recommendations and object detection to Toyota Research Institute that are advancing the science behind autonomous vehicles. And there's a consistent cream from a lot of these customers that are, you know, innovating in the deep learning space that you know the cost it takes to experiment, train and optimize the deep learning models. It's too high. And, you know, they're looking at us as one of their partners to help them optimize their costs, you know, bring them as well as possible while giving them really performing products and enable them to actually bring their markets, their innovations to market as soon as possible. Right? S o. Do you answer your questions straight on your wants? The working backwards. It's a feedback from customers that they want choice on. They want our help Thio lower. Uh, the amount of compute resources and the cost it takes to train the new planning models. >>Hey, Tom, why don't you weigh in here on Havana and now part of intel? What trends are driving this? What's the motivation? Were you guys fit in? What's your view on this? >>Yeah, So Havana was founded in 2016 to deliver a I processors for the data center and cloud for training and inference deep learning models. So while building chips is hard, building, the software and ecosystem is even harder. So joining forces with intel simply helps us connect the dots. Ever since the acquisition last year, we were able to significantly boost our armed. The resource is, and now we're leveraging inter scale in number of customers and ecosystem and partner support. >>So what's the name of the product? Is there a chip name got? Was it Gowdy is the name? >>Yes, the product is man angle. >>Okay. And so it's gonna be hardware. So it's the hardware software. What's involved? Take us through the product. >>Yes. So Gandhi was designed from the ground up to do one task which is training deep learning models. To do that well, we focus the architectural to aspect efficiency and scalability. The computer architectures is a combination of fully programmable TPC tensile process, of course, and a central g M n G. These DPC course are programmable Villa W seen the machines that we designed with custom instruction, set architecture, er and special functions that will developed specifically for a I. The Gandhi cheap integrates also 32 gigabyte off H B M to memory which makes it easy to port to. For GPU developers, Gandhi is unique in integrating 10 parts of 100 gigabit Internet rocky on cheap. And this is opposed to other architectural, which use proprietary interfaces. So overall, improving the cost performance is achieved through efficiency, namely higher utilization off the computer and memory resource is on cheap and the native integration off the rocky interfaces >>J Town. This is actually interesting, as this is the theme for reinvent. We're seeing it right on stage today. Play out again another command performance by Andy Jassy. Slew of announcements. How does Gowdy fit into the AI portfolio or Amazon strategy? Because what a town saying is it sounds like he's doing the heavy lifting on all this training stuff when people want to just get to the outcome. I mean, the theme has been, just let the product do what they do kind of put stuff under the covers and just let it scale. Is that the theme here is this. >>What does this >>all fit in? Take us through how this fits into the A, I strategy for Amazon and also what what what is Havana Intel bring to the table? >>Absolutely. Yeah. So with respect to our overall strategy and portfolio units, it's relatively straightforward, right? So we're laser focused on making sure we have the broadest and deepest portfolio off services for machine learning, right? So these range from infrastructure services specifically compute networking and storage all the way up to, like, managed and all services, which come with pre trained models and customers can simply invoke them using an A P. I call right eso. So from a strategy perspective, you want to make sure that we provide a customer to a choice, uh, enable them to pick the right platform for the right use case, help them get to the Khan structure they actually want, right eso with Havana. And you know, their acquisition with Intel, we finally have access to hardware software and the ability to kind of build out a ecosystem beyond what you know judicially is being used. Which is was a GP used right eso. So the engagement with with Havana, you know, allows us to take their products and capabilities, wrap it around, and easy to instance, which is what customers will be able to launch right on doing so. We're enabling them to tap into the innovation that Teton the rest of the Havana team are working on while having a solution that is integrated with the full AWS stack. Right? So you don't you don't have to rack in stock hard. Bring your data center thes. They're gonna be available standard. Easy to instances. You can just click and launch them. Get access to software that's already pre integrated and big den and ready to go right. Eso so it actually comes down to taking their innovations, coupling it with an AWS solution and making it too easy for customers together. I've been running with the respective training the deepened models. >>Well, here is the question that I want to get to. I think everyone's on everyone's mind is how is it Gowdy different or similar than other GPU? Specifically, you mentioned the software stack on the AWS What you get the software stack inside the chip. How is this different or similar? Two other GP use. And what's the difference between the software stack versus a traditional libraries? >>So from day one, we were focused on the software experience and we were mindful in the need to make it easy for developers to use the innovations we have in the hardware. Most developers, if not all of them, are using deep learning frameworks such as tensile flowing pytorch for building their deep learning models. So God is synapse AI software suite comes integrated and optimized for tensorflow and pilotage, so we expect most developers to be able to take their existing models and with minor changes to the training strips to be able to run them on Gowdy based instances. In addition, expert developers that are familiar with writing their own kernels will be provided with food too sweet for writing their own TPC kernels that can augment the Havana provided library. >>So that's the user experience for the developers, right? That's what you're saying >>exactly, exactly, and we will provide detailed guides for developers. In doing that, Havana will provide open access to documentation library software models and left toe Havana's kita and bi directional communication with the Havana developer community. All these resources will be available concurrently with the AWS Instances launch. >>Okay, so I'm a developer. How did I get involved? It's software on git hub I use the hardware is on Amazon, obviously, in their instances. It's a new instance. Take me through the workflow develop. I'm into this. I wanna I wanna get involved. What I what am I doing? Take me >>through? Yes, I think it s so If the developer is accustomed to using GPS for training the deep learning models three experience is gonna be practically the same, right? So they'll have multiple options to get started. One of them would be, for example, to take our deep learning, Um, it's or Amazon machine images that will come integrated with software from Havana labs. Right. So customers will take the deep Learning Army and launch it on an easy to instance, featuring the gaudy accelerators. Right? So when with that, they'll have, you know, the baseline construct off software and hardware available to get up and running with right, we'll support, you know, all different types of work flows. So if customers want to use containerized solutions, thes instances will be supported R E C s and E s services. Eso using containerized kubernetes you know, thes the solution will just work on. Lastly, we also intend to support these instances through sage maker eso. Just a quick recap on stage maker. That's a manage service that does end to end that provides end to end capabilities for training, debugging, building and deploying machine learning applications. Eso these instances will also be supporting sage maker. So if you're fiddling with sage maker, you can get up and running with this. This is fairly quickly. >>It sounds like it's gonna enable a lot of action and sage maker level. Then can that layer on the use cases? I gotta ask you guys quickly, What's the low hanging fruit use case applications for this product thing? This partnership, Because you know that's gonna be the first Traction said, What are some of these applications gonna be used for? What can we expect to see? >>So typical applications would be image classifications, object detection, natural language processing, the recommendation systems. You'll find reference models in our get up for that and will be growing at least a Z you can imagine. >>Okay, where can people find more info? Give us the data. Take him in to explain. Put a plug in for how What's all the coordinates? U r l sites support how people create, Um, how people get involved. The community. >>Yeah, so customers will be able to access information on AWS websites and also on Havana Labs website. So you will be kicking off a preview early next year. Eso I would highly recommend for customers to find our product pages and signed up for already access and previous information. Utah. >>Yes, and you'll find more information on Havana. A swell a Savannah's get up over time. >>Great announcement. Congratulations. Thanks for sharing the news and some commentary on it. This is really the big theme. You know what Cove in 19 and this pandemic has shown is massive acceleration of digital transformation and having the software and hardware out there that accelerates the heavy lifting and creates value around the data. Super valuable. Thanks for for doing that. Appreciate taking the time. Thank >>you so much. >>Yeah. Thanks for having >>us. Okay, this is the cubes coverage at 80. Best reinvent next three weeks. We're here on the ground. Will remote. We're live inside the studio. We wish we could be there in person, but it's remote this year. But stay tuned. Check out silicon angle dot com. Exclusive interviews with Andy Jassy and Amazon executives and the big news covering. They're all there in one spot. Check it out. We'll be back with more coverage after this break. Thanks for watching. Yeah.

>> Narrator: From theCUBE Studios in Palo Alto in Boston, connecting you with thought leaders all around the world, this is a CUBE Conversation. >> Hi, I'm Stu Miniman and this is a CUBE Conversation, I'm coming to from our Boston area studio. Happy to welcome to the program, Angela Medina. She is the director of product marketing at ThousandEyes. Thank you so much for joining us. >> Thanks for having me Stu. >> All right, so Angelique, we get to dig into some research, a new report, it's set up to be annual, the 2020 Internet Performance Report. Of course, internet, like everything else in 2020, things are a little bit different. So help us understand a little bit the purpose of this report and what led to its inaugural incarnation. >> Yeah, absolutely. So it's really interesting. So about the March period, when suddenly there were shutdowns in the US and other regions, and a lot of the workforce was working from home, we started to get a lot of inbounds from our customers and other interested parties about how the internet was holding up. So there was systemic network degradation, are the operators able to handle all of this traffic and these pretty significant traffic shifts. So in responding to this, we decided to put out or make public our outage detection capabilities. So we put out an outage hub and this was back in May, and it basically shows ongoing and recent disruptions, so that's overlaid on a map and you can see where outages are taking place and which networks they're taking place in. So, that's been out for a few months, but we wanted to look at not just outages in real time, but historically as well. So, in looking at the last few months from January through the end of June, that's a really interesting time capsule because we can look at how networks perform and behave, not just under normal conditions, so maybe January and February, but also highly abnormal conditions. So it's a very interesting way to understand how the different types of network operators perform, given what we're enduring right now. >> Yeah, It's fascinating to me if you've watched the networking industry Angelique, normally these kinds of changes in networking are things that we measure in years if not a decade. I remember it felt like it was at least 10 years we talked about the mega trend of North-South to going East-West, how virtualization was changing everything. And of course in 2020, it's all of a sudden, all right, everybody work from home, everybody's home internet is going to be stressed. So help us understand a little bit how much of that is a blip that we saw over a very short period of time and what the resulting output is. >> Yeah, it was really interesting because beginning in... I mean, there are always a certain level of disruptions. Disruptions are just a part of operating a network. Occasionally you're going to have a little bit of downtime, stuff breaks, but in March we saw a pretty dramatic spike, particularly in North America and Asia pack. The level of disruptions, the duration of the disruptions and the scope of them. So more infrastructure impacted was pretty significant. So it was something like a 66% increase globally. And this did start to go down in subsequent months, so we're at a point where it's not quite back to January, February baseline, but it's pretty close. So we definitely saw an increase, but it seems to have stabilized as in a lot of areas, traffic has plateaued or normalized. >> And when you talk about the internet, of course, the internet is made up of lots of devices and lots of companies. What particularly is interesting there, if you look at some of the internet service providers out there, if you're look at companies that are doing remote contact centers, are you able to see a heat map or some of the areas that might have been under more stresses and strain? >> Yeah, absolutely. So we're looking at it not only from a geographic standpoint, but we're also looking at different network types. So we're defining the internet fairly broadly, not to just be connectivity as a service providers like your broadband providers or your transit providers, but also cloud networks networks. Cloud networks these days are really an extension of the internet. So we're also looking at their performance and how they held up as well as the networks of really key services like CDN providers, content delivery network providers, as well as DNS. So the collection of these networks is really what is the foundation of what most people think of as the internet. >> Yeah, it's the thing that we've been saying for a number of years is if traditionally you were somebody that managed the network, it used to be something that you would touch. And now, of course, most network operators, you are responsible for a lot of things that you don't necessarily touch. I'll give the disclaimer of course, anybody watching, Cisco has made the announcement to acquire ThousandEyes of course, the gorilla in the networking world. We look forward to talking about that more once the deal is completely closed. So Angelique, how are the cloud providers doing? How are end customers reliance on all of these various services? How are things holding up? >> Yeah, I mean, you bring up a really good point about the fact that a lot of enterprises have dramatically transformed or are in the process of transforming themselves where they're now so dependent on external services like cloud providers, like provider networks, more internet service providers, as opposed to managed services. So overall, there hasn't been any kind of systemic breakage across all of these providers, but really the devil is in the details. Oftentimes you might have issues where there might be of an increase in disruptions, or you can't quite pinpoint where the source of an issue is. So really being able to see into these external services and understand how they're performing and have that visibility so you can communicate is really important if you're going to be successful operating in this new IT reality. But in terms of how the different providers perform, how providers are vastly more reliable than internet service providers, probably for a number of reasons having to do with how they've built their networks. They're software defined, they're not as dependent on the underlying infrastructure. So they have much newer networks too, less technical debt, for sure. >> Anything specific when you look at the data over time, are we through the biggest shift in what's happening in more of the ripples now, or have things settled out a little bit, I guess, since some of the initial shocks? >> Yeah, so it varies by provider and region. If just think about the United States or North America. So in North America, we definitely have seen that the number of disruptions have come down over the last couple of months. And we're at a point we're really only about 20% off from what we were seeing in January and February, but cloud provider disruptions haven't quite returned to earlier levels. So they're still on the upswing. So it will be interesting to see where that goes, if that continues, or if that eventually starts to plateau and then decline. But they're going in different directions in North America, disruptions are up, but ISP disruptions are down. >> All right, maybe, could you explain a little bit, what does it mean by an outage? Actually, I pull up right now, the internet outage map which you have on your website and there's these scary, glowing red circles, but you and I are connecting from across the country, obviously using the internet to be able to do videos. So just because there's red glowing lights doesn't mean that we don't have internet access. >> Right, right. I mean, so just in terms of what an outage is, an outage, as we define it, is where there is a hundred percent packet loss within a provider's networks, so traffic is effectively terminating at an interface within the infrastructure of a provider. And so when that happens, we'll flag it. And this is based by the way, on billions of network probes that are sent over the internet using our platform each day. That's how we effectively derive these measurements. And when we see these disruptions, again, we'll flag them and to your point, yes, big, glowing outages on a map, but you know, you're right, not all of them were necessarily going to be disruptive to users for a number of reasons. One of the earlier points you brought up is that the internet is made up of thousands of independently operated networks. It's not like a utility, so you may go through a provider that's having an issue when you may not and that can change dynamically depending on where you're connecting to and what service you're trying to reach. It gets very complicated. >> Is that so? Yeah, so I'm curious one of the biggest challenges out there is that companies have to rapidly make changes. Whether it is adopting cloud services or getting ready remote call centers or the like, are there anything that they can take from the survey data or these maps as to how should I plan things? How should I make these changes? What can practitioners learn from this? >> So I think it's important to understand how do operators, what are their habits and practices, depending on where you're located and we've seen regional differences. So for example, in the US, with internet service providers, they tend to have disruptions that are taking place outside of traditional business hours. So less disruptive, more likely to be due to a maintenance window, change that they're making, versus other regions where many more of these disruptions are taking place at times that might impact a business. So understanding how different providers vary in terms of their practices, gives you an opportunity to have that conversation with providers to hold them accountable and to work collaboratively with them so that you understand when are they going to be making changes. If there are increases in traffic, maybe you have some resiliency measures in place because you know that the operators might be a little bit stressed responding to these increases in either traffic or changing traffic patterns. >> All right, are there any other key takeaways that people should take from this new report? >> Yeah, I mean, I think, one of the key things is that not every outage is created equal. Not all providers are created equal. I mean, they really do vary. Whether it's the fact that the cloud providers have significantly fewer disruptions within their network. Some countries that we've seen have not really been impacted in terms of traffic increases while others have. It really can depend. And so the only way for you to know how your provider is performing or how the key services that you rely on are performing is to have visibility because these days, very often, you don't directly own or manage it. So the only way to ensure that you're getting performance that you need, is to have insight. >> All right, in addition to the report that's coming out, you've got a weekly series I believe that sharing data along with one of our other CUBE Alarms Archana, tell us a little bit about what you're doing there and how that differs. >> Yeah, so we do a weekly podcast. It's just about 15 minutes. It's just to check in to look at what's happened the previous week. So we put this out every Monday and we're looking at whether there have been outages, any interesting news that's taken place, and we'll often go and deep dive on disruptions that have happened. So last week, you probably heard about the CloudFlare outage. It was a pretty big deal. I was getting lots of folks telling me, "Hey, the Internet's down." And it was really just CloudFlare and their DNS service that wasn't available. So we go under the hood and dissect what happened and how it unfolded, and we can show a lot of interesting visualizations around that. >> All right, one last thing, going back to the report, obviously you gather data, you look to be this yearly report, anything along gathering that data, surprises that you've found along this, or putting together the report, are there certain things that longitudinally you might look to do in future studies? >> Yeah, so I do think that maybe it wasn't as surprising to a lot of people, but it was surprising to us given that looking at the same amount of data or same amount of infrastructure that cloud providers were just so dramatically experienced fewer outages. ISP is like 10 times the number of outages as cloud providers. I think going forward, it would be interesting to incorporate more insight into LastMile connectivity, 'cause we're really focusing on backbone networks, really anything other than LastMiles. So, in subsequent reports, we'll fold in some additional insight into LastMile performance as well. >> Excellent. All right, Angelique, I'll let you have the final word, final takeaways you want people to have from this internet performance report. >> You know, I think what you should take away is that if you're able to see how providers are performing, you really can influence how they operate and have a more productive experience working with them. And because these days they're really foundational to most enterprises business, so it's really important to understand the differences between the cloud providers, as well as differences between internet service providers and how that works across different regions. >> All right, well, Angelique, thank you so much for sharing the results of this. Definitely look forward to digging into the data and hearing more from your weekly activities. >> Thanks for having me. >> All right, thank you so much for joining, I'm Stu Miniman and thank you for watching theCUBE. (bright music)

>> From Santa Clara, California, in the heart of Silicon Valley, it's theCUBE covering Technovation's World Pitch 2018. Now, here's Sonia Tagare. >> Hi, welcome back. I'm Sonia Tagare here with theCUBE in Santa Clara, California covering Technovation's World Pitch Summit 2018. A pitch competition in which girls develop apps in order to create positive change in the world. This week 12 finalist teams are competing for their chance to win the coveted gold or silver scholarships. With us today from Mexico we have Edutec and they're consisted of Miriam, Angelica, Luna, and Medina. We have then Luzdhy Huerta and Citalli Ruiz Puga, Ivana Michelle Orozco Lopez, Cesar Valdez, Consuelo Sarahi Checa Navarro, and Vanessa Dinorah Perez Ramirez. Congratulations and welcome to theCUBE. >> Thank you. >> So your app, Care For Me, tell us more about that. >> Who wants to tell? Well, this application, Care For Me, is an app that is focused on the caregiver of a patient with Alzheimer. That normally turns out one person in the family. So during the process of the Alzheimer disease, it's a very difficult situation for all the family. But when they developed the application, they started thinking of the caregiver because sometimes they lost in all the disease. So they developed the application so the caregiver has more support and tools in order to provide very good care for the patient, and as well for themselves. >> And what was the inspiration to create this app? >> Somebody wants to answer that? What is the inspiration? >> My teammate Tivana had a grandma who suffered this disease, so we inspire in this case. >> Well, that's wonderful that you're doing that, and I'm sure it's going to help a lot of people. So what made you join Technovation? (speaks in foreign language) >> Let me just translate it? >> Sure. >> They knew about Technovation because an invitation from the university that we all belong that is (speaks in foreign language). And they mentioned that there were some courses about technology, especially for the science mobile application. (speaks in foreign language) >> Then they mentioned when the course was starting, they informed what is Technovation about, and they know that they have to develop an application with a social impact, so they have to attack some problematic they see in their communities. And then they get very excited to help people, to help another. And at that time, that's where they knew each other because they didn't previously know each other before the competition. >> So how did you all meet? And how did you decide to make this team? (speaks in foreign language) >> So the course is offered by the University of Guadalajara. We offer app inventor and marketing, we brought some experts after some courses. Roughly December, the girls all got together, they didn't know each other, and they decided to form a team, and we're here now, right? (laughs) >> And what are you most excited about for this competition? (speaks in foreign language) (speaks in foreign language) >> She's saying that... Sorry. She's saying that the most exciting about all this and working together is about the opportunity to help other people, and have an impact, and that's why they enjoy working together. >> That's so inspiring. So how do you think Technovation is helping the larger girls in tech conversation? (speaks in foreign language) (speaks in foreign language) >> She's saying that the most impact that they have about these kind of programs is about getting all the fears that you think you have that may be stopping from doing something, so you have to believe that you can to solve all these fears. >> That's awesome. (laughs) So who do you think is the team to beat? Who's the competition? (speaks in foreign language) (speaks in foreign language) >> I think the focus of Technovation is to not pit girls against each other, but to work on themselves and on their project, and hope for the best, I guess. (laughs) >> That's a wonderful perspective to have on this. I want to thank you all so much for being on theCUBE, and congratulations on becoming a finalist, and good luck on your pitch tomorrow. >> Thank you. >> We're here at Technovation's World Pitch Summit 2018 here in Santa Clara, California. Stay tuned for more. (upbeat music)