And when the world moves and accelerates into this $1 trillion IT infrastructure transformation which is now $100 billion into that journey, it's growing 40% a year, I wouldn't be surprised to see that that accelerate. Demand for these applications are surging amid the shift to working from home, telemedicine, and remote learning.
If you went back to Volta, Volta was the first generation that did deep learning training in a really serious way and it was really focused on training. We learned our way into it. Jefferies Financial Group analyst M. Lipacis now expects that the computer hardware maker will post earnings per share of $1.60 for the quarter, down from […]
Ampere is fast, it's universal, and it's elastic. We introduced the next version of our AI algorithm called deep learning super sampling. This makes the A100 ideal for both training and for inference. And so we have a great appreciation for high-performance networking. Keep in mind, there is more in there than just our stock-based compensation. And that's what you need to do, you need to find a way to have an acceleration -- an accelerated computational defense system that allows you to find insight, detect early warning ASAP. And so that versatility B100 PCI Express, not as scalable in performance as the B100 SXMs but it was much more flexible for rentals. Just two quick ones. For the full year, stock-based compensation and acquisition related costs also influence. But the combination of IoT, 5G, industrial 5G and artificial intelligence is going to be -- is going to turn every single industry into a tech industry.
Thank you.And in that world, we would like to be able to innovate from end to end, from networking storage, security, everything has to be secured in the future so that we can reduce the attack surface down to practically nothing and so networking storage, security all completely offloaded, all incredibly low latency, all incredibly high performance, and all the way to compute all the way through the switch. In real-time, DLSS 2.0 can fill the missing bits from every frame, doubling performance. Thank you.The second, the notebooks that we created with RTX and Max-Q is just doing great. Customers appreciate the top-to-bottom platform all based on a single architecture, letting them build one software-defined platform for every vehicle in their fleet.Yeah. The stock fell over 1% in after-hours trading after losing a little more than 2% on the day. You're going to see a lot more robotics support in retail, you're going to see a lot more robotics support in warehouses, in logistics, and so during this time when the market when the industry is disrupted and impacted, it allows the market leaders to really lean into investing into the future and so when they come back, they'll be coming back stronger than ever.Stock Advisor launched in February of 2002. And today we're the only computing [Indecipherable] computing platform that you could really marginally address. I think the conditions are very different.That is all the time we have for questions. With our announcements, we highlighted several initiatives: First, computing is moving to data center scale. Were you trying to suggest that those did offset completely and gaming was kind of flattish into Q2, because I know it has a typical seasonal pattern, switch [Phonetic] is typically up. And when people are working from home it's going to clearly increase the single best home entertainment, which is video games. We have a significant upgrade opportunity over the next year with the rising tide of RTx enabled games, including major blockbusters like Minecraft and Cyberpunk. With me on the call today from NVIDIA are Jensen Huang, President and Chief Executive Officer and Colette Kress, Executive Vice President and Chief Financial Officer. The DGX A100 is configurable from one to 56 independent GPUs to deliver elastic software defined datacenter infrastructure for the most demanding workloads from AI training and inference to data analytics.We announced two products for Edge AI, the EGX A100 for larger commercial off-the-shelf servers and EGX Jetson Xavier NX micro-edge servers. Thanks, John for the question.
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