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Sapphire Technology Introduces EDGE+ Apex Robotics Platform Powered by AMD Ryzen AI Processors
Sapphire Technology has launched the EDGE+ Apex System-on-Module (SOM) and Carrier Robotics Platform, which is powered by AMD Ryzen AI Embedded X100 Series processors. This production-ready hardware platform is designed to enhance the development and deployment of physical AI in autonomous robotics, showcased at AMD Advancing AI 2026 in San Francisco. The EDGE+ Apex platform is engineered for rugged, always-on robotics applications, featuring a COM-HPC module with up to 128GB of LPDDR5x memory. It combines CPU, GPU, and NPU acceleration to support real-time perception and autonomous decision-making, making it suitable for demanding edge AI deployments. Sumit Shah from AMD emphasized that this platform unifies AI and industrial reliability, enabling the next generation of autonomous systems. Developers can leverage an open software ecosystem with familiar AI frameworks while utilizing AMD ROCm and Ryzen AI software. Paul Smith from Sapphire noted that the EDGE+ Apex aims to provide a complete foundation for robotics builders, facilitating a faster transition from prototype to production in challenging environments. No further timeline was disclosed at the time of publication.
Computing Robotics ai at the edge amd amd ryzen ai embedded x100 amd ultrascale+
AMD Launches Advanced 16-Core Zen 5 Processor for Robotics and AI Applications
On July 23, AMD unveiled the Ryzen AI Embedded X100 series processors at the Advancing AI 2026 conference, designed specifically for physical AI and autonomous robotics. This system-on-chip integrates a 16-core Zen 5 CPU, a 40-unit RDNA 3.5 GPU, and an XDNA 2 NPU, enhancing the capabilities of robotic 'brains' for perception, reasoning, and decision-making. The X100 series significantly boosts performance metrics, achieving up to 2.1 times higher multi-threaded CPU performance compared to Intel's Core Ultra series, and 3.4 times better real-time performance than NVIDIA's Jetson Thor. The unified memory architecture allows for shared memory among CPU, GPU, and NPU, enabling over 8000 control decisions per second with latency under 100 milliseconds, bringing robotic response times closer to human instinct. The X100 series includes six SKUs, with industrial-grade reliability for continuous operation over ten years. AMD's Kria AI solutions will leverage this technology, supporting a wide range of applications from humanoid robots to industrial automation. Samples are currently being provided to customers, with mass production expected in Q4 2026.
Robotics AI Processors Embedded Systems Autonomous Robots
AMD and Microsoft Expand Strategic Partnership with Large-Scale Deployment of AI Rack Scale 'Helios' on Azure
On July 20, 2026, AMD announced an expansion of its strategic partnership with Microsoft, focusing on the large-scale deployment of the AMD Helios rack-scale AI product on Azure. This collaboration encompasses GPUs, CPUs, networking, and software, with Helios being utilized for inference processing of frontier AI models by Microsoft and its AI customers. The significance of this partnership lies in the integration of AMD's Helios, which combines the AMD Instinct MI455X GPU, the sixth-generation EPYC CPU, and Pensando's networking technology into a cohesive AI system designed for extensive AI learning and inference. Microsoft plans to deploy Helios across three new Azure virtual machine series, enhancing its infrastructure offerings for next-generation AI applications. Looking ahead, AMD is set to begin shipping Helios to customers, including Microsoft, in late 2026. The collaboration is expected to broaden the scope of AMD's AI solutions, with potential implications for other major companies already adopting AMD's Instinct series, such as Meta and OpenAI. No further timeline was disclosed at the time of publication.
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