Pure Storage with NVIDIA AI to accelerate enterprise AI adoption

Pure Storage has announced new validated reference architectures for running generative AI use cases, including a new NVIDIA OVX-ready validated reference architecture. As a leader in AI, Pure Storage, in collaboration with NVIDIA, is arming global customers with a proven framework to manage the high-performance data and compute requirements they need to drive successful AI deployments. 

Building on this collaboration with NVIDIA, Pure Storage delivers the latest technologies to meet the rapidly growing demand for AI across today’s enterprises. New validated designs and proofs of concept include -
 

Retrieval-Augmented Generation (RAG) Pipeline for AI Inference: To improve the accuracy, currency, and relevance of Inference capabilities for large language models (LLMs), Pure Storage created a RAG pipeline leveraging NVIDIA NeMo Retriever microservices and NVIDIA GPUs and Pure Storage for all-flash enterprise storage. As a result, Pure Storage accelerates time to insight for enterprises using their own internal data for AI training, ensuring the use of their latest data and eliminating the need for constant retraining of LLMs.

Certified NVIDIA OVX Server Storage Reference Architecture: Pure Storage has achieved OVX Server Storage validation, providing enterprise customers and channel partners with flexible storage reference architectures, validated against key benchmarks to provide a strong infrastructure foundation for cost- and performance-optimized AI hardware and software solutions. This validation offers additional choice for AI customers and complements Pure Storage’s certification for NVIDIA DGX BasePOD announced last year.

Vertical RAG Development: To accelerate successful AI adoption across vertical industries, Pure Storage is creating vertical-specific RAGs in collaboration with NVIDIA. First, Pure Storage has created a financial services RAG solution to summarize and query massive datasets with higher accuracy than off-the-shelf LLMs. Financial services institutions can now gain faster insight using AI to create instant summaries and analysis from various financial documents and other sources. Additional RAGs for healthcare and public sector to be released. 

Expanded Investment in AI Partner Ecosystem: Pure Storage is further investing in its AI partner ecosystem with NVIDIA, engaging in new partnerships with ISVs like Run.AI and Weights & Biases. While Run.AI optimizes GPU utilization through advanced orchestration and scheduling, the Weights & Biases AI Development platform enables ML teams to build, evaluate, and govern the model development lifecycle. Additionally, Pure Storage is working closely with AI-focused reseller and service partners including ePlus, Insight, WWT, and others to further operationalize joint customer AI deployments. 

“Pure Storage recognized the rising demand for AI early on, delivering an efficient, reliable, and high-performance platform for the most advanced AI deployments. Embracing our long-standing collaboration with NVIDIA, the latest validated AI reference architectures and generative AI proofs of concept emerge as pivotal components for global enterprises in unraveling the complexities of the AI puzzle,” says Rob Lee, Chief Technology Officer, Pure Storage.
 

“NVIDIA’s AI platform reference architectures are enhanced by Pure’s simple, efficient, and reliable data infrastructure, delivering comprehensive solutions for enterprises navigating the complexities of AI, data analytics, and advanced computing. Pure’s latest validated reference architectures and proofs of concept are helping drive AI innovation, providing businesses with the tools needed to unlock new possibilities and drive transformative outcomes,” says Bob Pette, Vice President of Enterprise Platforms, NVIDIA.