Ultra Ethernet is a suite of technologies designed to enhance Ethernet for use in AI and HPC. This talk will describe the motivation for and goals of the Ultra Ethernet Consortium, discuss the AI and HPC problems that it addresses, and go into some technical details of the Ultra Ethernet 1.0 solution, including Ultra Ethernet Transport -- the high-performance transport protocol designed by UEC specifically to support AI and HPC.

Hugh Holbrook
Hugh is the Chief Development Officer at Arista Networks, and is responsible for AI and Cloud platforms and systems software engineering at Arista. Hugh has been at Arista since 2005. Hugh serves on the Steering Committee of the Ultra Ethernet Consortium and chaired its Technical Advisory Committee. He is the inventor of Source-Specific Multicast (SSM), chaired the IETF working group that standardized it, and has authored multiple RFCs including the PIM-SM protocol spec. He has a BS, MS, and PhD from Stanford University in Computer Science.
Ultra Ethernet Consortium
Website: https://ultraethernet.org/
Ultra Ethernet Consortium (UEC) is bringing together leading companies for industry-wide cooperation to build a complete Ethernet-based communication stack architecture for high-performance networking. Artificial Intelligence (AI) and High-Performance Computing (HPC) workloads are rapidly evolving and require best-in-class functionality, performance, interoperability and total cost of ownership, without sacrificing developer and end-user friendliness. The Ultra Ethernet solution stack will capitalize on Ethernet’s ubiquity and flexibility for handling a wide variety of workloads while being scalable and cost-effective.
Ultra Ethernet Consortium is founded by companies with long-standing history and experience in high-performance solutions. Each member is contributing significantly to the broader ecosystem of high-performance in an egalitarian manner. The founding members include AMD, Arista, Broadcom, Cisco, Eviden (an Atos Business), HPE, Intel, Meta and Microsoft, who collectively have decades of networking, AI, cloud and high-performance computing-at-scale deployments.