# MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet

DevFeed: [MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet](<https://devfeed.tech/articles/metaroce-a-new-rdma-transport-built-for-ai-scale-ethernet-130.md>)

Original publisher: [Read original article](<https://engineering.fb.com/2026/08/24/networking-traffic/metaroce-rdma-transport-ai-ethernet/>)

Author: Arvind Srinivasan; Neil Spring; Omar Baldonado; Rajiv Krishnamurthy

Published: 2026-08-24T18:02:29Z

Content type: article

Language: en

Sources: [Engineering at Meta](<https://devfeed.tech/sources/engineering-at-meta.md>)

Topics: [Ethernet](<https://devfeed.tech/topics/ethernet.md>), [Networks](<https://devfeed.tech/topics/networks.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [data centers](<https://devfeed.tech/topics/data-centers.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [data-center-engineering](<https://devfeed.tech/tags/data-center-engineering.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [networking-traffic](<https://devfeed.tech/tags/networking-traffic.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>)

## AI overview

Meta introduces MetaRoCE, an RDMA transport protocol designed for AI workloads on commodity Ethernet at million-GPU scale. The article describes its release through the Open Compute Project and explains how endpoint intelligence, packet spraying, fine-grained logical paths, and real-time telemetry aim to provide high throughput, low tail latency, and operational simplicity for distributed training and inference.

## Source excerpt

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, Meta designed MetaRoCE - a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity Ethernet. We're releasing the MetaRoCE specification, a reference software implementation and a compliance test [...] Read More... The post MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet appeared first on Engineering at Meta.