AMD Ryzen™ AI Embedded X100 Series Processors
Industry-Leading Heterogenous Compute for Physical AI
Leadership Performance and Integration for Real-World, Mixed Workloads
AMD Ryzen™ AI Embedded X100 Series processors combine an x86 CPU, a discrete-class integrated GPU (iGPU), and an NPU in a single SoC to deliver high-performance heterogeneous processing for autonomous systems. Built for the demanding compute requirements of physical AI, Ryzen AI X100 Series processors enable deterministic, low-latency performance for applications that need to sense, perceive, and act in real time.
Key Benefits
- Built for Real Physical AI Workloads
- Enables perception, reasoning and control on a single device, for real-world, autonomous workloads.
- Single-chip Integration
- Eliminates the complexity of fragmented architectures by integrating a CPU, GPU, and NPU on a single SoC, minimizing communication latency, power, and cost.
- Deterministic, Real-Time Performance
- Predictable, low-latency execution for real-time workloads, enabled by a unified memory architecture, virtualization and cache allocation technology.
- Scalable, Open Software Approach
- Avoid vendor lock-in with the Kria™ AI Robotics Software Suite, featuring an open, fully optimized software stack, including AMD ROCm™ software, and compatible with Linux, Xen Hypervisor, and industry standard AI frameworks.
Applications
- Robotics
- Industrial
- Healthcare
- Aerospace & Defense
- Interactive Entertainment
- Networking and Storage
Product Brief
AMD Ryzen™ AI Embedded X100 Series processors combine CPU, GPU, and NPU acceleration in a single SoC with unified memory, deterministic low-latency performance, and an open software ecosystem for intelligent edge AI systems