Pure Storage, NVIDIA Boost Enterprise AI Adoption

Pure Storage, a provider of cutting-edge data storage solutions, has teamed up with NVIDIA to accelerate the adoption of enterprise AI technologies in response to growing demand. The collaboration has yielded new validated reference architectures tailored for generative AI applications, including a newly launched NVIDIA OVX-ready reference architecture. By leveraging Pure Storage’s expertise in managing high-performance data alongside NVIDIA’s advanced AI capabilities, businesses worldwide now have access to a proven framework for successful AI deployments.

Key highlights of this collaboration include:

– Enhanced AI Inference Capabilities: Pure Storage has developed a Retrieval-Augmented Generation (RAG) pipeline, utilizing NVIDIA NeMo Retriever microservices and GPUs, coupled with Pure Storage’s enterprise-grade all-flash storage. This pipeline aims to enhance the accuracy and relevance of AI inference, accelerating insights for enterprises without the need for frequent retraining of large language models (LLMs).

– Certified NVIDIA OVX Server Storage Reference Architecture: Pure Storage has achieved validation for OVX Server Storage, providing enterprises with flexible storage reference architectures that are benchmarked for optimal cost and performance. This validation offers customers additional options for AI hardware and software solutions, complementing Pure Storage’s existing certification for NVIDIA DGX BasePOD.

– Vertical-Specific AI Solutions: Pure Storage is developing vertical-specific RAGs in collaboration with NVIDIA, starting with a financial services solution designed to summarize and analyze vast datasets with greater accuracy than off-the-shelf LLMs. These tailored solutions aim to accelerate AI adoption across various industries, with plans to release additional solutions for healthcare and the public sector.

– Expanded AI Partner Ecosystem: Pure Storage is bolstering its AI partner ecosystem in collaboration with NVIDIA, forging new partnerships with ISVs like Run.AI and Weights & Biases. These partnerships focus on optimizing GPU utilization and providing AI development platforms for machine learning teams. Additionally, Pure Storage is working closely with AI-focused resellers and service partners to operationalize joint customer AI deployments.

According to Rob Lee, Chief Technology Officer at Pure Storage, the collaboration with NVIDIA and the introduction of validated AI reference architectures signify a pivotal advancement in addressing the complexities of enterprise AI deployments.

Bob Pette, Vice President of Enterprise Platforms at NVIDIA, highlights the synergy between NVIDIA’s AI platform reference architectures and Pure Storage’s data infrastructure, offering comprehensive solutions to enterprises navigating AI, data analytics, and advanced computing challenges.

In an industry where AI deployments often face hurdles due to fragmented data environments, Pure Storage’s validated reference architectures provide a streamlined pathway to AI success. By simplifying AI infrastructure and reducing risks and costs associated with deployment delays, Pure Storage empowers enterprises to unlock the full potential of AI with confidence.

As Mike Leone, Principal Analyst at ESG, points out, Pure Storage’s validated frameworks offer enterprises a shortcut to AI success, saving valuable time and resources while ensuring a high return on investment for AI initiatives.