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Meta Powers the Future of AI with É«¿Ø´«Ã½

Meta builds one of the world¡¯s fastest AI supercomputers, using É«¿Ø´«Ã½ FlashArray? and FlashBlade? to deliver petabytes of data to train AI models.

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Summary

Meta¡¯s RSC, AI Research SuperCluster, is one of the world¡¯s fastest AI supercomputers, designed to train next-gen AI models on petabytes of data. With É«¿Ø´«Ã½ FlashArray and FlashBlade, Meta can support the supercomputer¡¯s GPU and storage needs while minimizing operational costs.

Enabling One of the World's Fastest AI Supercomputers

Enabling One of the World's Fastest AI Supercomputers
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Challenges

Meta needed storage that could handle petabytes of data while delivering the performance demanded by the supercomputer. The storage also needed to have a very low power profile so that Meta could invest more power into the GPUs which speed up AI models.

¡°We contacted a number of storage vendors of both disk and flash to evaluate their highest performance, highest density offerings. From a combination of performance and power and cost, we ended up selecting É«¿Ø´«Ã½."

Vivek Pai

AIRSC Storage Lead, Meta

Results

É«¿Ø´«Ã½ supports next-generation AI research trained on petabytes of data, unifies data delivery to scale across even the most data-intensive jobs, and helps Meta learn how to deliver more content that people want to see. Meta designed and built a first-of-its-kind AI research cluster in less than two years. Reliable flash performance requires less maintenance than disk storage, reducing overall operational costs. Low power consumption allows Meta to direct more power to GPUs, improving overall performance.

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