Autonomous physical AI systems like industrial robots, AMRs, and humanoids need more than just raw compute to perceive, reason, and act safely in the real world. Accelerating these mixed workloads require determinism and low latency to close control loops fast.
AMD Ryzen™ AI Embedded X100 Series processors are built for real-world physical AI deployment.
Leadership AI Compute
- Manage massive concurrency for agentic workloads with a 16-core x86 CPU; discrete-class, integrated GPU (iGPU); and low-power NPU
- Close control loops faster with up to 128 GB of unified memory with up to 273 GB/s bandwidth
- Expect 2.1X higher multi-thread Coremark® CPU Throughput vs. Intel Core Ultra Series X7 358H CPU1
- Get up to 3.4X better real-time reliability2 and 1.6X more spare CPU compute capacity3 vs. NVIDIA® Jetson T5000 for robotics workloads
Designed for Real-World Deployment
- Deploy with a 10-year lifecycle and up to a 10-year operating life
- Operate across an industrial temperature range (-40°C to 105°C)
- Utilize scalable power profiles (45W–120W)
Open & AI-ready Software Ecosystem
- Build on an open software stack, based on an AMD ROCm™ software with support for popular frameworks like ROS2 and PyTorch
- Choose flexibility and performance without vendor lock-in
Design with confidence using AMD Ryzen™ AI Embedded X100 Series processors for maximum flexibility and performance.
