AMD unveiled the AMD Ryzen AI Embedded processors, a new family of embedded x86 processors purpose-built to enable AI-powered workloads at the edge. Designed for applications ranging from automotive digital cockpits and smart healthcare to physical AI for autonomous systems-including humanoid robotics-the new P100 and X100 Series processors deliver high-performance, energy-efficient AI compute in a compact BGA (ball grid array) form factor. The portfolio empowers OEMs, Tier 1 suppliers, and system and software developers across automotive and industrial markets to deploy advanced AI capabilities in space- and power-constrained embedded environments.
Each processor integrates AMD’s latest “Zen 5” CPU core architecture for scalable x86 performance and deterministic control, an RDNA™ 3.5 GPU for real-time visualization and graphics processing, and an XDNA™ 2 neural processing unit (NPU) for low-latency, low-power AI acceleration-all consolidated into a single system-on-chip.
“As industries push for more immersive AI experiences and faster on-device intelligence, they need high performance without added system complexity,” said Salil Raje, senior vice president and general manager, AMD Embedded. “The Ryzen AI Embedded portfolio brings leadership CPU, GPU and NPU capabilities together in a single device, enabling smarter, more responsive automotive, industrial, and autonomous systems.”
The Ryzen AI Embedded portfolio includes the P100 Series processors, designed for in-vehicle computing and industrial automation use cases, and the X100 Series processors, which offer higher CPU core counts and increased AI TOPS performance to support more compute-intensive physical AI and autonomous system deployments.
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Purpose-Built for In-Vehicle Experiences
Available starting today, the P100 Series processors feature 4 to 6 CPU cores and are optimized for next-generation automotive digital cockpits and human-machine interfaces (HMI). These processors enable real-time graphics for in-vehicle infotainment, AI-enhanced user interactions, and responsive multi-domain processing. The P100 Series offers a 2.2x increase in both single-threaded and multi-threaded performance compared to the previous generation. It also keeps deterministic control in a compact 25 × 40 mm BGA package. The processors have a power envelope that can be set between 15 and 54 watts. They work in temperatures from –40°C to +105°C. This makes them ideal for tough, long-lasting automotive and industrial edge uses.
Immersive Graphics and On-Device AI Acceleration
The P100 Series incorporates an RDNA 3.5 GPU, delivering an estimated 35% improvement in rendering performance to support up to four 4K displays or two 8K displays simultaneously at 120 frames per second. Integrated AMD video codec engines enable high-quality, low-latency video streaming and playback without placing additional load on the CPU.
For AI workloads, the next-generation AMD XDNA 2 NPU delivers up to 50 TOPS, enabling up to 3x higher AI inference performance. The XDNA 2 architecture supports advanced multimodal AI use cases by combining voice, gesture, and environmental perception using supported models such as vision transformers, compact large language models (LLMs), and convolutional neural networks (CNNs).
Open, Safe Software Stack for Faster System Design
Ryzen AI Embedded processors give developers a steady and unified software setup. This setup works well across CPU, GPU, and NPU resources. Developers can access optimized CPU libraries, open-standard GPU APIs, and native AI runtimes for the XDNA architecture via Ryzen AI Software. This makes development and deployment easier.
The software stack uses an open-source virtualization framework built on the Xen hypervisor. This setup allows for secure isolation of different operating system domains. This architecture lets Yocto or Ubuntu run HMI systems. FreeRTOS handles real-time control functions. Android or Windows supports feature-rich applications. All these run safely and at the same time on one platform. With an open-source foundation, long-term operating system support, and an ASIL-B capable architecture, the Ryzen AI Embedded platform helps customers lower development costs, streamline customization, and accelerate time to production for automotive and industrial AI systems.