Kevin Deierling (@TechSeerKD, SVP Marketing @NVIDIA) talks about the evolution of cloud and datacenter infrastructure, the new economics of computing, and how DPUs are redefining how data gets inspected and offloaded.   


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• NVIDIA Homepage ([ Ссылка ]) - Artificial Intelligence, Computing Leadership
• What is a DPU? ([ Ссылка ]) (NVIDIA Blog)
• NVIDIA CUDA ([ Ссылка ])
• NVIDIA DOCA ([ Ссылка ])
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what brought you to this place where NVIDIA is now the center of cloud and the data center? 


Topic 2 - Before we dive into your specific area of focus, I want to see if we can get a big picture view of where we are in 2021 with cloud & the datacenter? 


Topic 3 - Everybody knows NVIDIA for GPUs (for gaming, or AI/ML/Analytics) and now ARM is part of the NVIDIA family. Your focus is on something called “DPUs”. Help us understand what a DPU is, and the core technical challenges it solves. 


Topic 4 - As we see DPUs start to come into use, design/architecture-wise or SmartNICs, what are the key things that architects need to think about? And who is thinking about DPUs - infra architects, AI teams, etc? 


Topic 5 - Where are the most common places where we’ll see DPUs / SmartNICs deployed today (how are they offered)? Can common applications take advantage of them, or do they need to be written to be DPU-aware? “Putting a computer in front of the computer”


Topic 6 - Give us some perspective on what the next couple of years might look like as this amount of processing and throughput becomes available, affordable and distributed to different platforms and clouds. 






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