Abstract
In the rapidly evolving landscape of Artificial Intelligence (AI) and High-Performance Computing (HPC), the demand for advanced network capabilities has never been greater. The Ultra Ethernet Consortium (UEC) stands at the forefront of this transformation, redefining the boundaries of Ethernet technology to meet these challenges head-on. This presentation will delve into the consortium’s pioneering efforts to adapt Ethernet, traditionally known for its ubiquity and cost-effectiveness, into a high-performance networking backbone capable of supporting the most demanding AI environments.
Attendees will learn about:
• Evolving Needs: Characteristics of AI and HPC that necessitate adapting the networking environment, and how to use Ethernet’s ubiquity and flexibility as a powerful solution;
• Scalability and Interoperability: The technical innovations and specifications being developed by UEC to enhance Ethernet’s performance, scalability, and efficiency in AI and HPC applications; and
• Next-Level Performance: Discover how UEC specifications surpass existing Ethernet capabilities, including remote direct memory access (RDMA) and RDMA over Converged Ethernet (RoCE), while supporting strategies for maintaining interoperability and backward compatibility.