Sapphire Technology has introduced the EDGE+ Apex platform, a production-ready hardware system built on AMD Ryzen AI Embedded X100 Series processors and designed specifically for autonomous robotics and physical AI applications. The platform integrates CPU, GPU, and NPU acceleration alongside purpose-built robotics I/O interfaces—including GMSL cameras, CAN-FD, and EtherCAT/TSN networking—to enable real-time perception, scene understanding, and autonomous decision-making at the edge. By offering an open, modular design that works with familiar AI frameworks and AMD's ROCm software stack, the platform aims to help robotics developers reduce engineering effort and accelerate deployment in continuous industrial environments.
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Sapphire Technology unveiled the EDGE+ Apex SOM/Carrier Robotics Platform, a production-ready hardware system powered by AMD Ryzen AI Embedded X100 Series processors, designed for autonomous robotics and physical AI applications. The platform was showcased at AMD Advancing AI 2026 in San Francisco.
Why it matters
The platform combines CPU, GPU, and NPU acceleration with robotics-specific I/O (GMSL camera interfaces, CAN-FD, EtherCAT/TSN networking, USB4, PCIe Gen5) in a single integrated system, allowing developers to move from prototype to production faster without being locked into a single compute architecture. It supports open software frameworks and AMD ROCm tools, reducing engineering effort and time to market for robotics builders.
What to watch
The EDGE+ Apex platform will be available in two components—an AMD Ryzen AI Embedded X100 Series processor COM-HPC Client B SOM and an AMD UltraScale+ FPGA robotics-targeted carrier board—as part of Sapphire's expanding EDGE+ portfolio that also includes the AMD Kria AI platform for production-ready System-on-Module designs.
Sapphire Technology introduced the EDGE+ Apex SOM/Carrier Robotics Platform as a complete hardware foundation for autonomous robots and physical AI systems. The platform was displayed at AMD Advancing AI 2026 in San Francisco and integrates two main components: a COM-HPC System-on-Module built around AMD Ryzen AI Embedded X100 Series processors with up to 128GB of LPDDR5x memory, and a companion robotics carrier board powered by AMD UltraScale+ FPGA.
The compute module includes Functional Safety (FuSa)-capable power design and Trusted Platform Module 2.0 compliance for safety-critical deployments. The robotics carrier board provides an extensive set of I/O interfaces purpose-built for real-world sensing and control: GMSL camera interfaces with integrated power, CAN-FD for industrial buses, EtherCAT/TSN networking for deterministic real-time control, multi-gigabit Ethernet QSFP, USB4 Type-C, OCuLink PCIe Gen5 expansion, and an onboard IMU. Together, these interfaces allow developers to connect cameras, sensors, actuators, and industrial networks without additional adapter cards.
The platform leverages AMD's CPU, GPU, and NPU acceleration to deliver real-time perception, complex scene understanding, and autonomous decision-making at the edge. Sapphire emphasized the deterministic real-time performance, unified memory architecture, and long-term lifecycle availability needed for continuous industrial operation. According to Paul Smith, senior director of Sapphire embedded solutions, "With EDGE+ Apex, our goal was to hand robotics builders a complete, production-ready foundation so they can focus on their application, not their hardware." The system supports an open software ecosystem compatible with familiar AI frameworks and AMD ROCm tools, avoiding lock-in into a single compute architecture or software stack—a key concern for developers planning long-term deployments.
The EDGE+ Apex platform is part of Sapphire's broader EDGE+ portfolio, which also includes designs based on the AMD Kria AI platform for production-ready System-on-Module applications. Together, these offerings target robotics, machine vision, industrial automation, and physical AI use cases, positioning Sapphire to help customers reduce engineering effort and accelerate time to market in demanding edge AI deployments.
Sapphire's EDGE+ Apex platform addresses a core challenge in autonomous robotics: developers need production-ready hardware that integrates perception, real-time control, and decision-making without forcing them into a proprietary software stack. By pairing AMD Ryzen AI Embedded X100 Series processors—which combine CPU, GPU, and NPU acceleration—with robotics-specific I/O engineered for sensors, cameras, and industrial networks, the platform reduces the engineering overhead of moving a prototype into continuous industrial deployment.
The modularity is significant: the system-on-module (SOM) approach lets developers integrate the compute engine with a purpose-built carrier board designed for real-world sensing and connectivity, rather than assembling components from multiple vendors. The inclusion of Functional Safety (FuSa) certification and Trusted Platform Module 2.0 compliance signals intent for safety-critical and regulated environments. By leveraging open frameworks and AMD's ROCm software, Sapphire avoids vendor lock-in—a concern for robotics builders evaluating long-term platform stability and lifecycle support.
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