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NVIDIA Open-Sources MRC Protocol to Standardize Gigascale AI Networking

MRC protocol

NVIDIA has released the Multipath Reliable Connection (MRC) protocol as an open specification through the Open Compute Project (OCP) to address networking bottlenecks in massive AI clusters. This MRC protocol is a specialized RDMA transport technology that allows a single data connection to utilize multiple network paths at once, preventing the congestion common in traditional Ethernet setups. By making this technology open, the company aims to establish a unified standard for gigascale AI infrastructure as organizations scale to hundreds of thousands of GPUs.

The MRC protocol functions by distributing traffic across various available routes within a network fabric, similar to how a city grid prevents traffic jams by offering multiple streets to a single destination. This approach is particularly effective for the Blackwell generation of GPU clusters, where the sheer volume of data can easily overwhelm single-path connections. The protocol includes hardware-level failure bypass capabilities that can identify and reroute traffic around network outages in mere microseconds, ensuring that expensive AI training runs are not interrupted by minor hardware glitches.

Strategic Impact on AI Infrastructure

The decision to open-source the MRC protocol signals a shift in how the industry handles the physical layer of AI development. While networking was previously a proprietary advantage for specific hardware vendors, the move toward open standards suggests that interoperability is becoming a requirement for the next phase of AI scaling. Major industry players including OpenAI, Microsoft, and Oracle have already begun deploying this technology within their AI factories to maintain high throughput and system availability.

For technical decision-makers, the adoption of the MRC protocol offers a path toward more resilient data center architectures. By eliminating the network-related slowdowns that often plague clusters with more than 100,000 GPUs, organizations can maximize the utilization of their compute resources. The integration with Spectrum-X Ethernet hardware provides a proven foundation for this protocol, though its status as an OCP specification means other hardware manufacturers can now align their products with this standard.

This release comes as the demand for gigascale networking continues to grow alongside the size of foundation models. As of May 2026, the industry is moving away from isolated proprietary silos toward a more collaborative infrastructure model. The MRC protocol provides the necessary framework for this transition, ensuring that the networking layer can keep pace with the rapid advancements in AI processing power.

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