# Meta open-sources MetaRoCE RDMA transport and OSPA switch spec at OCP 2026

> **Key takeaway:** Meta is open-sourcing its MetaRoCE RDMA transport for AI networks and co-leading the OSPA switch platform standardization effort with Microsoft and Alibaba.

**Published:** 2026-10-26T16:00:07+00:00 
**Source:** Meta Engineering & Open Source 
**Category:** bigtech-foss 
**Canonical URL:** https://fosswire.org/news/meta-open-sources-metaroce-rdma-transport-and-ospa-switch-sp.html 

## Summary
At the 2026 Open Compute Project Global Summit, Meta disclosed multiple networking technologies powering its gigawatt-scale Prometheus AI cluster and Muse Wonder and Muse Spark models. The company announced it is open-sourcing MetaRoCE, its RDMA transport for AI networks. Meta also co-led submission of the OSPA (Open Switch Platform Architecture) v1.0 specification to OCP alongside Microsoft and Alibaba, aiming to standardize the switch platform layer that remains proprietary despite SAI's data-plane portability. The announcements accompany detailed technical disclosures including IceCube 102.4T switches, Flattened Planar Fabric scale-out architecture, and Tahan Ethernet scale-up switches for MTIA 300.

Meta's networking stack runs on FBOSS, its open network operating system, which powers production AI fabrics in collaboration with NVIDIA's Spectrum-X SDK and SAI implementation. The company released video recordings and slide decks from more than a dozen technical talks covering switch hardware, integrated optics, linear pluggable optics, and operational experience at gigawatt scale.

## What Meta open-sourced and standardized at OCP 2026
- **MetaRoCE:** Meta's RDMA transport for AI networks is now going open source, providing an alternative RDMA implementation for high-performance AI cluster networking.
- **OSPA v1.0:** A new OCP initiative co-led by Meta, Microsoft, and Alibaba to standardize the switch platform layer, with the v1.0 specification already submitted to OCP for review.
- **FBOSS integration:** Meta's network operating system runs on IceCube 102.4T switches (Broadcom Tomahawk 6C or NVIDIA Spectrum-6, 128x800GE) and integrates with NVIDIA's Spectrum-X SDK and SAI for production AI fabrics.
- **Flatened Planar Fabric:** A multi-plane scale-out architecture where each GPU connects to eight network planes, collapsing 3-tier to 2-tier Clos with NIC-level packet spraying and combined host+switch control plane.
- **Scale-across backbone:** BAG petabit-scale super-spine connects buildings, campuses, and regions using SRv6 regional backbones running on FBOSS plus SAI.

## Why it matters
Open-sourcing MetaRoCE gives the Linux AI infrastructure ecosystem a production-proven RDMA transport alternative to proprietary implementations, potentially reducing vendor lock-in for large-scale training clusters. The OSPA standardization effort addresses a genuine friction point where SAI-enabled data-plane portability still leaves every switch platform requiring months of duplicated bring-up work, which if successful would accelerate multi-vendor switch deployment for cloud providers and enterprises building open networks.