AWS EC2 compute evolves to meet agentic AI and physical AI demand
Twenty years on, AWS EC2 compute is meeting demand shaped by agentic AI, physical AI, and customers pushing general-purpose cloud infrastructure into new territory its earliest architects never anticipated.
That growth is permeating throughout every layer of the platform, according to Art Baudo (pictured), principal product marketing manager and head of EC2 product marketing at Amazon Web Services Inc. Customers are now using AMD-based instances for AI inference workloads alongside traditional high-performance computing tasks, and the breadth of what is moving into the cloud has surprised even longtime cloud advocates.
“As that performance has gone up, so has the price performance that we’ve delivered to customers,” Baudo said. “With AI taking off, we’re seeing people use it in multiple different spaces across the industry and across the instance types as well.”
Baudo spoke with theCUBE’s Dave Vellante and John Furrier at AMD Advancing AI event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the AWS and AMD partnership has matured since the first EPYC instances launched in 2018, and how the Nitro system underpins security and performance throughout the full EC2 portfolio. They also covered what the acceleration of AI workloads means for EC2 compute. (* Disclosure below.)
