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Open ecosystem for high-performance mini PCs

AMD has announced a new open ecosystem for OEMs to create and customise high performance mini PCs.

The ecosystem will be powered by AMD Ryzen embedded V1000 and R1000 processors. The first OEMs to offer and sell these new mini PC platforms will be ASRock Industrial, EEPD, OnLogic and Simply NUC - who will target industrial, media, communications and enterprise customers.

“The demand for high performance computing isn’t limited to servers or desktop PCs. Embedded customers want access to small form factor PCs that can support open software standards, demanding workloads at the edge, and even display 4K content, all with embedded processors that have a planned availability of 10 years,” said Rajneesh Gaur, corporate vice president and general manager, Embedded Solutions, AMD. “This is why many of our technology partners have chosen AMD Ryzen Embedded processors to power their Mini PCs. We are excited to work together and provide the industry with a new open ecosystem for small form factor computing.”

Christian Blersch, Managing Director, EEPD, added, “With the new SBC PROFIVE NUCV and NUCR we have a reliable, energy-efficient Box-PC with state-of-the-art technology in our portfolio. These platforms meet the highest demands due to its power-optimised processors and the ultra-modern, highly efficient thermal concept. This ecosystem of Mini PCs powered by AMD Ryzen Embedded allows us to create products for our customers that are characterised by low integration costs, simple combination options with our USB-I/O-modules, and a high degree of functional safety and reliability.”

AMD says these new mini PCs will have access to an existing embedded processor ecosystem that supports open software standards, while providing OEMs the capability to create unique, customisable platforms. The mini PCs will also support a growing list of software partners including Radeon Open Compute (ROCm) and OpenCL.

Potential applications include running software for machine vision, object detection, edge inference, and analytics.

Author
Charlotte Hathway

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