AMD goes after Nvidia's grip on robot brains

AMD used its Advancing AI 2026 event on 23 July to enter physical AI in earnest, announcing Kria AI system-on-modules built around the new Ryzen AI Embedded X100 processors, together with a robotics developer platform that pairs the module with a carrier board and evaluation kit. The hardware is aimed squarely at the compute box inside a humanoid or an autonomous machine: up to sixteen Zen 5 cores for real-time control, an RDNA 3.5 integrated GPU, an NPU for inference and, in the top configurations, up to 128 GB of unified memory. AMD quotes more than 8,000 control decisions per second and vision-language-action reasoning below 100 milliseconds, and benchmarks the platform against Nvidia's Jetson line — claiming 3.4x better real-time reliability, 1.6x more free CPU cores and support for 2.3x more concurrent agents than the Jetson T5000. Independent measurements are not yet available; these are vendor numbers. The strategic point is less about any single figure than about choice. Nvidia's Jetson Thor has been close to the default brain for humanoid developers, and AMD is selling an open stack — Linux, ROCm, a hypervisor, PyTorch and ONNX — to robot makers who would rather not be locked to one vendor. The modules are sampling with early customers now, with general availability through ODM partners expected in the fourth quarter of 2026.