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Multipath Reliable Connection Joins Open Compute Project

AMD unveiled MRC to strengthen AI networking. The protocol ensures GPUs stay synchronized under real‑world conditions.

Powering frontier AI models like ChatGPT requires massive GPU compute working seamlessly together, with the network determining how much capacity can be utilized. To address this, AMD, in collaboration with OpenAI, Microsoft, and industry partners, has contributed Multipath Reliable Connection (MRC) to the Open Compute Project. MRC is designed for large‑scale AI training, distributing traffic across multiple paths to reduce congestion and reroute quickly during failures.

Multipath

This transforms the network into a shock absorber, ensuring consistent throughput under real‑world conditions. AMD co‑authored the MRC specification, contributed congestion control technology, and validated deployments with a leading cloud provider. Its programmable Pensando NICs enabled early implementation, now scaling to 800G. MRC redefines AI infrastructure performance by prioritizing resilience, synchronization, and efficiency over peak bandwidth. With contributions from AMD, OpenAI, Broadcom, Intel, and Microsoft, MRC advances AI networking from concept to production‑ready infrastructure, supporting cloud, enterprise, and sovereign AI environments.

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A futuristic data center corridor illuminated by blue and orange lights, with glowing lines representing data flow and rows of server racks along the sides.

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