Ultra Ethernet Consortium Aims to Adapt Ethernet for AI and HPC Requirements

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Ultra Ethernet Consortium Formed, Plans to Adapt Ethernet for AI and HPC Needs

A new Ultra Ethernet Consortium is set to redefine Ethernet technology to meet the growing demands of high-performance computing (HPC) and artificial intelligence (AI) workloads. The consortium, overseen by the Linux Foundation and backed by industry leaders including AMD, Intel, Microsoft, and Cisco, aims to develop the Ultra Ethernet Transport (UET) protocol to address the low latency and scalability requirements of AI and HPC systems.

With AI models becoming increasingly complex, the need for larger clusters and faster networking capabilities is critical. The Ultra Ethernet Consortium aims to enhance Ethernet technology to ensure optimal performance for these data-intensive workloads.

Dr. Earl Joseph, CEO of Hyperion Research, highlighted the challenges faced by HPC and AI users, stating that weaknesses in system interconnect capabilities have limited their performance.

To achieve their goals, the Ultra Ethernet Consortium plans to refine Ethernet technology while ensuring cost efficiency and interoperability. This will involve improvements to both the software and physical layers of Ethernet, without altering its fundamental structure.

The consortium’s technical goals include developing specifications, APIs, and source code for Ultra Ethernet communications. They will update existing link and transport protocols, create new telemetry and congestion mechanisms, and address the specific needs of AI and HPC clusters through separate profiles within the UET protocol.

Justin Hotard, EVP and General Manager of HPC & AI at Hewlett Packard Enterprise, emphasized the importance of developing an open, scalable, and cost-effective Ethernet-based communication stack to support high-performance workloads.

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The Ultra Ethernet Consortium will focus on refining the Physical Layer, Link Layer, Transport Layer, and Software Layer of Ethernet technology. The consortium’s founding members, who are leaders in CPU and GPU design, network infrastructure, and supercomputing, bring valuable experience to the effort.

While the consortium does not explicitly mention any competing technologies, it is anticipated that Ultra Ethernet will directly compete with InfiniBand, the preferred networking technology for low-latency, HPC-style networks. NVIDIA, a major user of both Ethernet and InfiniBand, is noticeably absent from the consortium.

The UEC members are already strategizing how to integrate the upcoming UET technology into their products, with AMD’s CTO, Mark Papermaster, highlighting the benefits of reduced congestion and improved security.

The Ultra Ethernet Consortium, hosted by the Linux Foundation, will continue its work through four dedicated working groups focused on different aspects of Ethernet technology.

While the consortium has not provided an estimated timeline for finalizing the UET specification, it is expected that certification from the IEEE will be sought, adding another layer of validation.

The Ultra Ethernet Consortium has expressed its intention to accept new members starting from Q4 2023, inviting interested technology giants involved in AI and HPC work to join their mission.

Overall, the Ultra Ethernet Consortium’s goal to adapt Ethernet technology for AI and HPC needs demonstrates the industry’s commitment to enhancing networking capabilities to support the increasingly demanding requirements of data-intensive workloads. Through collaboration and refinement, the consortium aims to drive innovation and enable efficient operation of high-performance clusters.

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Frequently Asked Questions (FAQs) Related to the Above News

What is the Ultra Ethernet Consortium?

The Ultra Ethernet Consortium is a collaborative industry effort overseen by the Linux Foundation, aimed at adapting Ethernet technology to meet the specific requirements of high-performance computing (HPC) and artificial intelligence (AI) workloads.

Who are the members of the Ultra Ethernet Consortium?

The consortium is backed by industry leaders including AMD, Intel, Microsoft, and Cisco, among others.

What is the goal of the Ultra Ethernet Consortium?

The goal of the consortium is to develop the Ultra Ethernet Transport (UET) protocol, which will address the low latency and scalability needs of AI and HPC systems.

Why is there a need for adapting Ethernet technology for AI and HPC?

With the increasing complexity of AI models and the demand for larger clusters, faster networking capabilities are crucial. Adapting Ethernet technology will ensure optimal performance for data-intensive workloads.

What challenges do HPC and AI users currently face?

Current weaknesses in system interconnect capabilities have limited the performance of HPC and AI systems.

How does the Ultra Ethernet Consortium plan to refine Ethernet technology?

The consortium aims to refine Ethernet technology by improving both the software and physical layers, while ensuring cost efficiency and interoperability.

What are the technical goals of the Ultra Ethernet Consortium?

The consortium aims to develop specifications, APIs, and source code for Ultra Ethernet communications. They will update existing link and transport protocols, create new telemetry and congestion mechanisms, and address the specific needs of AI and HPC clusters.

How will the Ultra Ethernet Consortium affect existing technologies like InfiniBand?

Ultra Ethernet is expected to directly compete with InfiniBand, the preferred networking technology for low-latency, HPC-style networks.

Is NVIDIA part of the Ultra Ethernet Consortium?

No, NVIDIA is not currently listed as a member of the consortium.

When will the Ultra Ethernet Consortium finalize the UET specification?

The consortium has not provided an estimated timeline for finalizing the UET specification, but certification from the IEEE will likely be sought, adding another layer of validation.

Can other companies join the Ultra Ethernet Consortium?

Starting from Q4 2023, the Ultra Ethernet Consortium will accept new members, inviting interested technology giants involved in AI and HPC work to join their mission.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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