Enterprises face numerous challenges when implementing Generative AI and Recovery Augmented Generation (RAG) in private clouds, including the complexity of integrating hardware, software, and development tools. For this reason, Pure Storage has presented its new solution, “Pure Storage GenAI Pod”, designed to facilitate the implementation of Generative AI projects, reducing time, costs and the need for specialized technical skills.

Additionally, it has revealed that its FlashBlade//S500 has been certified to work with NVIDIA DGX SuperPOD, improving implementations of this technology with Ethernet compatibility.

“Pure Storage’s expanded portfolio of AI solutions with validated turnkey designs for GenAI and large enterprise AI clusters helps customers address these challenges. Validated designs dramatically reduce the time to value and operational risks of AI projects by comprehensively addressing needs at every layer of the technology stack,” explains Dan Kogan, VP, Enterprise Growth and Solutions, Pure Storage.

Generative AI

Pure Storage GenAI Pod, based on the Pure Storage platform, offers validated designs that enable fast, optimized day-two deployments, including vector databases and base models. The Portworx integration facilitates automated deployment of NVIDIA NeMo and NIM microservices, as well as the Milvus vector database.

Applications of these validated designs range from drug discovery to commercial research and investment analysis. Pure Storage has collaborated with companies such as Arista, Cisco, KX, Meta, NVIDIA, Red Hat, SuperMicro and WWT to develop these designs, which will be available in the first half of 2025.

Pure Storage FlashBlade//S500 certified with NVIDIA DGX SuperPod

Certification of the FlashBlade//S500 with NVIDIA DGX SuperPOD provides enterprises with a high-performance, flexible, and space- and power-efficient architecture ready for future AI needs. This certification expands Pure Storage’s portfolio of AI solutions, including AIRI with NVIDIA DGX BasePOD, validated NVIDIA OVX servers, and FlashStack for AI with Cisco.