HomeOpenAI Partners with Hardware Giants to Launch MRC Protocol Targeting GPU Idle Waste
On May 6, OpenAI, together with AMD, Broadcom, Intel, Microsoft, and NVIDIA, introduced a new open network protocol called "Multipath Reliable Connection" (MRC). This initiative marks a significant step by the tech industry to address efficiency bottlenecks in massive AI clusters.
The protocol's core goal is to improve the performance of large AI training clusters. In earlier model training, expensive GPU computing power often sat idle due to network fluctuations or uneven load distribution, wasting substantial resources. MRC aims to enhance data transmission stability through more reliable multipath connections, thereby lowering power consumption and boosting overall computing efficiency.
According to available information, MRC is not merely theoretical—it is already fully deployed within OpenAI. All major supercomputers used to develop cutting-edge models rely on this protocol, including the Oracle Cloud Infrastructure site in Abilene, Texas, and Microsoft's Fairwater supercomputer cluster.
As AI model parameters continue to grow, optimizing underlying infrastructure efficiency has become a new competitive front among leading companies. By choosing to jointly launch an open protocol with multiple hardware chipmakers and cloud providers, OpenAI not only addresses its own training costs but also positions itself to shape network communication standards in the AI era. For the industry, the release of MRC could push ultra-large computing clusters into a more efficient and environmentally sustainable phase.
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On May 6, OpenAI, together with AMD, Broadcom, Intel, Microsoft, and NVIDIA, introduced a new open network protocol called "Multipath Reliable Connection" (MRC). This initiative marks a significant step by the tech industry to address efficiency bottlenecks in massive AI clusters.
The protocol's core goal is to improve the performance of large AI training clusters. In earlier model training, expensive GPU computing power often sat idle due to network fluctuations or uneven load distribution, wasting substantial resources. MRC aims to enhance data transmission stability through more reliable multipath connections, thereby lowering power consumption and boosting overall computing efficiency.
According to available information, MRC is not merely theoretical—it is already fully deployed within OpenAI. All major supercomputers used to develop cutting-edge models rely on this protocol, including the Oracle Cloud Infrastructure site in Abilene, Texas, and Microsoft's Fairwater supercomputer cluster.
As AI model parameters continue to grow, optimizing underlying infrastructure efficiency has become a new competitive front among leading companies. By choosing to jointly launch an open protocol with multiple hardware chipmakers and cloud providers, OpenAI not only addresses its own training costs but also positions itself to shape network communication standards in the AI era. For the industry, the release of MRC could push ultra-large computing clusters into a more efficient and environmentally sustainable phase.
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