As a leading data storage platform serving the most advanced enterprise AI initiatives , Pure Storage commits to further defining and integrating UEC technology standards , while building and delivering a forward-compatible platform to optimise performance for enterprise AI and HPC workloads using Ethernet , supporting rapid innovation and faster time to market .

As enterprises strive to achieve their AI goals , they face significant challenges with existing network solutions that are difficult to manage and scale , hindering the flexibility and efficiency needed for growing AI workloads .

• Faster time to innovation : As AI and HPC workloads are accelerated , AI infrastructure powered by Ultra Ethernet will enable lower job completion times and higher frequency iterations that speed model building , training and inference , translating into faster time to innovation , faster time to market and shorter time to insight .

• Cost-effective , efficient operations : Faster compute , network and link speeds , as well as lower latency and higher network utilisation provides

enterprises with high performance AI and HPC networking and storage built on cost-effective and easy to manage Ethernet-based switches and storage .

• Enhanced choice for customers : Customers will have greater choice between IB and Ethernet networks , allowing them to extend their Ethernet networking investments into the AI and HPC applications they are adopting .

Maciej Kranz , GM , Enterprise , Pure Storage , said : “ Since its inception , Pure Storage has committed to delivering flexible , reliable and highperformance data storage technologies and services to simplify the enterprise data experience . Joining the UEC provides Pure with the opportunity to work alongside leaders in compute , networking and storage to drive the development of a new ultra-Ethernet architecture for the most advanced AI and HPC workloads .”

INTELLIGENT OPERATIONS

To address these challenges , UEC aims to advance Ethernet technology , offering a scalable and efficient solution to support AI innovation .

Ethernet ' s increased adoption in data centres , due to its lower TCO , extensive interoperability and proven reliability , has made it the foundation for many of the world ’ s largest AI clusters . The advancement of new Ultra Ethernet standards will allow enterprises to maximise their existing AI and HPC investments while deploying performance-intensive applications , driving innovation , boosting productivity and enhancing operational efficiency .

By contributing to the standardisation and growth of high-performance Ethernet for large-scale AI and HPC initiatives , Pure Storage will accelerate platform development to support UEC standards long-term , delivering :

Maciej Kranz , GM , Enterprise , Pure Storage

Hugh Holbrook , Chief Development Officer , Arista Networks , said : " The UEC is a leader in driving the evolution of Ethernet technologies , accelerating innovation and setting new benchmarks for performance , reliability and scalability in networking . As a member of the steering committee , Arista strongly supports the UEC , and Arista is excited to have Pure Storage ’ s deep data storage expertise , in collaboration with other industry leaders , to advance Ethernet standards and ultimately empower organisations to meet the evergrowing demands of AI and HPC ." �