In this interview from AMD Advancing AI 2026 in San Francisco, Kirk Saban, corporate vice president of product marketing and management at AMD, joins theCUBE's Dave Vellante and John Furrier to discuss the company's push into physical AI and robotics. Saban unveils four new announcements from AMD's embedded business, headlined by the Kria AI Robotics Developer Kit. He details how the kit pairs the new Ryzen AI Embedded X100 system-on-module, which combines CPU, GPU and NPU compute with a unified memory architecture, with a Spartan UltraScale+ FPGA carrier card for sensor aggregation. Saban also highlights AMD's open-source robotics software stack and a newly launched robotics partner network, framing the announcements as a full-stack answer to the next wave of agentic AI embodied in humanoid robots.
The conversation explores why AMD's Xilinx heritage gives it a distinct advantage in physical AI, combining decades of FPGA determinism, functional safety and industry-standard COM-HPC form factors with AMD's CPU and GPU leadership. Saban explains how ROCm's shared codebase lets developers train on data center Instinct GPUs and deploy locally on embedded silicon, while agentic AI tools are accelerating CUDA-to-ROCm porting and closing what he calls NVIDIA's software moat. He also touches on the sales and technology synergies unlocked by the Xilinx acquisition, from longstanding robotics relationships to a broadening embedded portfolio. From deterministic latency requirements to human-safe cobot design, Saban outlines AMD's roadmap to become a serious, long-term player across the physical AI market.
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Kirk Saban, AMD
In this interview from AMD Advancing AI 2026 in San Francisco, Kirk Saban, corporate vice president of product marketing and management at AMD, joins theCUBE's Dave Vellante and John Furrier to discuss the company's push into physical AI and robotics. Saban unveils four new announcements from AMD's embedded business, headlined by the Kria AI Robotics Developer Kit. He details how the kit pairs the new Ryzen AI Embedded X100 system-on-module, which combines CPU, GPU and NPU compute with a unified memory architecture, with a Spartan UltraScale+ FPGA carrier card for sensor aggregation. Saban also highlights AMD's open-source robotics software stack and a newly launched robotics partner network, framing the announcements as a full-stack answer to the next wave of agentic AI embodied in humanoid robots.
The conversation explores why AMD's Xilinx heritage gives it a distinct advantage in physical AI, combining decades of FPGA determinism, functional safety and industry-standard COM-HPC form factors with AMD's CPU and GPU leadership. Saban explains how ROCm's shared codebase lets developers train on data center Instinct GPUs and deploy locally on embedded silicon, while agentic AI tools are accelerating CUDA-to-ROCm porting and closing what he calls NVIDIA's software moat. He also touches on the sales and technology synergies unlocked by the Xilinx acquisition, from longstanding robotics relationships to a broadening embedded portfolio. From deterministic latency requirements to human-safe cobot design, Saban outlines AMD's roadmap to become a serious, long-term player across the physical AI market.