AMD Ryzen AI Embedded P100 SoCs Equipped With LPCAMM2 Memory On Solidrun’s Edge AI Modules

Mar 12, 2026 at 03:30am EDT
A green circuit board labeled AMD-FP8-COM6 with a visible CPU socket and a Crucial 64GB memory module.

Solidrun has introduced its latest Edge AI systems equipped with AMD's Ryzen AI Embedded P100 chips & LPCAMM2 memory.

LPCAMM2 Memory & AMD Ryzen AI Embedded P100 SoCs Power Edge AI Systems From Solidrun

Press Release: SolidRun, a leading developer and manufacturer of high-performance system-on-module (SOM) solutions, single-board computers (SBC), and network edge solutions, announced its new P100 COM Express Type 6 module family, powered by AMD Ryzen AI Embedded P100 processors. Designed for real-world edge deployments where systems don’t sit still, the P100 COMx6 series targets mobile platforms as well as harsh, mission-critical environments across industrial automation, transportation, medical systems, and robotics.

Related Story SK Hynix Previews HBM4E Memory at Computex, Cramming 48GB Into a 12-Hi Stack and Pushing Bandwidth to a Record 4 TB/s

Rugged, Serviceable Memory That’s Built for Motion

A key innovation of the P100 COMx6 series is SolidRun’s LP-CAMM2 memory integration in an industrial COM Express Type 6 module, delivering the best of all worlds: the serviceability of modular memory with the mechanical robustness typically associated with soldered memory and the low power consumption of LPDDR5.

In plain terms, this platform is designed so engineers and OEMs can repair, swap, or service memory more easily, while also improving resistance to the real-world failure modes that show up in moving systems.

What makes LP-CAMM2 significant to the P100 COMx6:

These benefits make the platform ideal for rail systems, mobile robotics, automated machinery, heavy vehicles, aerospace and defense, marine platforms, and mobile medical devices.

AI Performance for Real-Time Vision, Robotics, and Control at the Edge

Powered by AMD’s latest CPU, GPU, and NPU architectures, the P100 COMx6 series is designed for real-time analytics, machine vision, and autonomous control in edge systems that demand near real-time and reliable operation. The module family delivers up to 50 TOPS from the integrated NPU and up to 59 TOPS total AI performance across the SoC, enabling data scientists to accelerate edge inference while maintaining embedded-friendly power profiles.

Designed for Extreme Environments and Flexible Deployment

These high-endurance industrial edge AI modules support an extended temperature range of -40°C to +85°C and configurable power envelopes of 15W to 54W, enabling flexible deployment in fanless, sealed, and high-performance systems. The result is a robust, maintainable platform that’s well-suited for continuously running systems deployed in extreme conditions.

HoneyComb Evaluation Platform Available to Accelerate Development

To expedite prototyping and reduce time-to-market, SolidRun offers a HoneyComb evaluation platform for the P100 COM Express Type 6 family. Following SolidRun’s established HoneyComb approach, the platform enables customers to quickly evaluate, test, and prototype with the P100 COMx6 modules in real-world applications and can serve as a baseline for carrier customization tailored to specific deployment requirements.

Key target applications include:

Availability

The SolidRun P100 COM Express Type 6 module family and HoneyComb evaluation platform are available today at solid-run.com. Customers will be provided with a comprehensive software support package and access to SolidRun’s support tools to streamline development and accelerate deployment.

About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.

Follow Wccftech on Google to get more of our news coverage in your feeds.