AMD targets physical AI computing with integrated platform for robotics and autonomous systems
As AI expands into robotics and other real-world applications, the focus is shifting toward integrated platforms that simplify development and deployment. Open ecosystems and standardized architectures are emerging as key priorities for the future of physical AI computing.
Agentic AI is creating the same requirements and challenges across markets, all of which demand a significant amount of compute. Whether it’s a humanoid robot or another type of autonomous robot, the need extends beyond GPU computing alone, according to Kirk Saban (pictured), corporate vice president of product marketing and management at Advanced Micro Devices Inc.
“You need GPU compute, but you need CPU compute as well for all of the autonomous functions,” Saban said. “It’s really the ultimate application of agentic AI, the ultimate embodiment, is a humanoid robot.”
Saban spoke with theCUBE’s Dave Vellante and John Furrier at the AMD Advancing AI event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed physical AI computing and how AMD is using an open, developer-centric platform to accelerate robotics innovation. (* Disclosure below.)
