The storage company Pure Storage today announced the Pure Storage GenAI Pod, which is an AI-powered storage solution designed to help companies scale their storage infrastructure as their AI needs grow.
The new offering features turnkey designs for deploying generative AI (GenAI) initiatives, which allows companies to reduce the time, cost, and skill needed to deploy GenAI projects.
According to Pure Storage, the initial set of designs are tailored towards use cases such as drug discovery, trade research and investment analysis, and retrieval-augmented generation (RAG).
It includes hardware, software, foundational models, and professional services from a variety of AI companies. For the initial release, Pure Storage partnered with Arista, Cisco, KX, Meta, NVIDIA, Red Hat, SuperMicro, and WWT.
“The pace of innovation is compelling enterprise customers to leverage AI across their business, but customers are held back by the fundamental challenge of siloed data platforms and complex-to-deploy Gen AI pipelines,” said Dan Kogan, VP of enterprise growth and solutions at Pure Storage. “Pure’s expanded portfolio of AI solutions with turnkey, validated designs for GenAI and large enterprise AI clusters help customers navigate these challenges. The validated designs dramatically reduce the time to value and operational risks of AI projects by holistically addressing the needs at every layer of the technology stack.”
In addition, the company announced that its FlashBlade//S500 storage architecture has been validated by NVIDIA DGX SuperPod, which will provide customers with greater confidence in their chosen storage offering, Pure Storage explained.
“AI is transforming industries at an unprecedented pace, and enterprises need powerful, validated solutions and infrastructure to achieve their AI strategies,” said Tony Paikeday, senior director of AI systems at NVIDIA. “The Pure Storage GenAI Pod with NVIDIA AI Enterprise software and the certification of FlashBlade//S500 with NVIDIA DGX SuperPOD can help organizations eliminate infrastructure complexity, speed deployments, and simplify operations.”
