AMD is targeting physical AI computing with an integrated platform for robotics and autonomous systems, as open ecosystems and standardized architectures become key priorities. Kirk Saban, corporate vice president of product marketing and management at AMD, stated that agentic AI creates the same requirements across markets, demanding significant compute. “You need GPU compute, but you need CPU compute as well for all of the autonomous functions,” Saban said, adding that “the ultimate embodiment, is a humanoid robot.” Saban spoke at the AMD Advancing AI event, discussing how AMD uses an open, developer-centric platform to accelerate robotics innovation. AMD’s embedded business serves industries including healthcare, agriculture, automotive and industrial IoT. Saban noted that with FPGA technology for sensor aggregation, “it doesn’t matter what market you’re going after. We can support that, we can scale it.” The same hardware can be reprogrammed and repurposed for multiple applications, allowing developers to tailor the platform for different sensors, cameras and MIPI interfaces. “We can service the entire robot spectrum, spine, brain, joints, we now have the complete solution,” Saban said.