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以太网不断发展借助超级以太网联盟为人工智能的未来提供动力.pdf

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The data provided outlines a presentation by the Ultra Ethernet Consortium (UEC) on the evolution of Ethernet for AI applications. Key points include: - The need for "Ultra Ethernet" arises from the requirements of AI workloads, which demand high-speed data transfer, massive data processing, and low-latency performance. - The UEC aims to address these needs by developing a new network infrastructure that is scalable, cost-effective, and capable of supporting the demands of AI and high-performance computing (HPC). - The presentation highlights the challenges in networking for AI, such as data ordering, congestion control, and the impact of tail latency on computation time. - UEC's approach includes flexible packet ordering, advanced security features, and improved network telemetry to enhance network visibility and performance. - The consortium has grown rapidly, with over 70 companies and 800+ volunteers contributing to develop standards, protocols, and specifications for the new network technology. - The proposed Ultra Ethernet network is intended to be backward compatible, using libfabric as its north-bound API, and to integrate with existing frameworks. - It aims to achieve a balance between network utilization and tail latency, while ensuring security and supporting modern APIs. For more information, one can visit the UEC's website at [https://ultraethernet.org/](https://ultraethernet.org/).
"Ultra Ethernet如何改变网络基础设施?" "AI与Ethernet Evolved:AI的未来有何关联?" "Ultra Ethernet Consortium (UEC)的目标和项目有哪些?"
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