Open Source Summit India 2026

The rapid growth of AI data centres is placing unprecedented demands on Ethernet, pushing the 53 year old technology beyond its legacy of best effort delivery. While Ethernet has continuously evolved, modern AI workloads introduce unique challenges such as RDMA driven traffic patterns, network congestion, and the need for lossless, ultra-low latency communication. These demands are critical across both scale-up and scale-out AI fabrics, which must support high-throughput training and latency-sensitive distributed inference between tightly coupled GPUs or xPUs.

This session explores how the ecosystem is addressing these challenges, highlighting key advances in open standards including:

The Ultra Ethernet Transport (UET) protocol from the Ultra Ethernet Consortium (UEC), a Linux Foundation project.
The SUE-T protocol associated with the UA Link industry initiative.
The Ethernet for Scale-Up Networking (ESUN) work-stream within the Open Compute Project (OCP).

Open collaboration is reinventing Ethernet as the scalable, interoperable backbone for the next generation of computing.