RSC is assisting Meta’s AI researchers to build new and better AI models that can learn from trillions of examples, work across hundreds of different languages, analyse text, images, and video together, and develop new augmented reality tools.

The RSC will innovate new technologies to introduce Meta’s next major computing platform, the metaverse where AI-driven applications and products will play an important role.

Meta chose Pure as it needed storage that can deliver robust capabilities to power RSC.

Offering FlashArrayTM and FlashBlade features, Pure Storage claims that the RSC will have unparalleled performance to analyse both structured and unstructured data.

Pure Storage helped design the first generation of Meta’s AI research infrastructure in 2017. Since then, Meta has continued to partner with the company.

“The technologies powering the metaverse will require massively powerful computing solutions capable of instantly analysing ever increasing amounts of data. Meta’s RSC is a breakthrough in supercomputing that will lead to new technologies and customer experiences enabled by AI,” comments Pure Storage chief technology officer Rob Lee.

Pure Storage’s portfolio lets customers process massive amounts of data from structured and unstructured sources. Solutions leveraged by Meta’s RSC include:

• FlashArray//C delivers hyper-consolidation, proven six-nines of availability, and consistent single-millisecond latency for the most demanding environments. Its unique QLC-based architecture allows the array to fulfill the strict performance, power, density, and space requirements of the RSC environment.
• FlashBlade brings a massively parallel platform capable of delivering ultra-fast performance to billions of objects and files.