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OpenAI built a networking protocol with AMD, Broadcom, Intel, Microsoft, and NVIDIA to fix AI supercomputer bottlenecks

OpenAI just cut AI supercomputer networking layers in half. Here's why that matters for everyone else's capex.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

OpenAI and five hardware giants (AMD, Broadcom, Intel, Microsoft, NVIDIA) built MRC, an open-source networking protocol that slashes GPU interconnect complexity and power consumption. It's already live on Stargate—signaling a fundamental shift in how AI infrastructure scales beyond 100K GPUs.

The key facts

5 to know
  1. MRC protocol reduces switch layers from 3-4 to 2 for 100K+ GPU clusters

  2. Cuts power and infrastructure costs for large-scale AI supercomputers

  3. Already deployed on OpenAI's Stargate supercomputer

  4. Open-source collaboration: AMD, Broadcom, Intel, Microsoft, NVIDIA

  5. Solves AI supercomputer networking bottlenecks at scale

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: OpenAI has teamed up with AMD, Broadcom, Intel, Microsoft, and NVIDIA to develop MRC, an open source network protocol that sends data across hundreds of paths simultaneously between GPUs. Instead of three or four switch layers, MRC needs only two to connect over 100,000 GPUs, cutting both power and…
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