OpenAI Releases Multipath Reliable Connection (MRC), New Open Networking Protocol for AI Training
Key Takeaways
- ▸MRC is an open-source networking protocol that improves reliability and reduces GPU idle time in large AI training clusters
- ▸The protocol is the result of collaboration between OpenAI, AMD, Broadcom, Intel, Microsoft, and NVIDIA
- ▸MRC is already operational in OpenAI's production supercomputers used for frontier model training
Summary
OpenAI has partnered with AMD, Broadcom, Intel, Microsoft, and NVIDIA to release Multipath Reliable Connection (MRC), an open-source networking protocol designed to optimize large-scale AI training clusters. The protocol addresses critical infrastructure challenges by improving cluster reliability and reducing wasted GPU time during training of frontier models.
MRC is already deployed across OpenAI's largest supercomputers, including infrastructure at an Oracle Cloud Infrastructure (OCI) site in Abilene, Texas, and Microsoft's Fairwater supercomputers. By making the protocol publicly available, OpenAI is contributing to industry-wide infrastructure standards that could benefit the broader AI development community. This release demonstrates OpenAI's commitment to solving infrastructure bottlenecks at scale while collaborating with leading hardware and cloud providers.
- Public release of MRC could establish industry standards for AI infrastructure optimization
Editorial Opinion
OpenAI's release of MRC as an open-source protocol is a significant move that reflects the critical importance of infrastructure optimization in frontier AI development. By open-sourcing this solution and partnering with major hardware vendors, OpenAI is reducing barriers for other organizations building large-scale AI training systems. This approach fosters industry collaboration and could accelerate progress across the sector, though it also signals that infrastructure—not just algorithms—is becoming a key competitive battleground in AI development.
