Pure Storage Accelerates Enterprise AI Adoption to Meet Growing Demands with Nvidia AI

Pure Storage, Inc. 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, the company, in collaboration with Nvidia Corp., is arming global customers with a framework to manage the high-performance data and compute requirements they need to drive successful AI deployments.

Highlights:
Building on this collaboration with Nvidia, Pure delivers the latest technologies to meet the growing demand for AI across today’s enterprises.

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), the company created a RAG pipeline leveraging Nvidia NeMo Retriever microservices and Nvidia GPUs and the firm’s for all-flash enterprise storage. As a result, the company 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: The company has achieved OVX Server Storage validation, providing enterprise customers and channel partners with flexible storage reference architectures, validated vs. 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’s certification for Nvidia DGX BasePOD announced last year.

• Vertical RAG development: To accelerate successful AI adoption across vertical industries, Pure is creating vertical-specific RAGs in collaboration with Nvidia. First, the company 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: The company 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, the firm is working with AI-focused reseller and service partners including ePlus, Insight, WWT 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,” said Rob Lee, CTO, Pure.

“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,” said Bob Pette, VP, enterprise platforms, Nvidia.

“At WWT, technology innovation is at the core of delivering valuable services to our global clients. As the demand for AI grows, we couldn’t be more excited to continue partnering with two best-of-breed vendors in our AI Proving Ground. Pure Storage’s high-performance AI storage infrastructure and Nvidia’s prowess in AI computing creates an impressive synergy, enabling our joint customers to seamlessly infuse artificial intelligence into their business operations while driving meaningful ROI,” said Ryan Avery, high-performance storage architect, World Wide Technology (WWT).

“Our mission at Run.AI is to be a driving force in the AI revolution, leading the charge for positive change across industries and enhancing the human experience. Focusing our efforts on providing the essential software layer that empowers AI infrastructure, we are thrilled to partner with Pure Storage and Nvidia to help drive broader (and more successful) adoption of advanced enterprise AI initiatives,” said Yael Dor, VP, global sales and partnerships, Run.AI.

“At Weights & Biases, we’re dedicated to building the best tools for machine learning and generative AI – including automating experimentation and model artifact tracking, streamlining model and prompt evaluation, and enabling end-to-end governance and reproducibility of machine learning workloads. Our expanded collaboration with Pure Storage and Nvidia further empowers AI developers on their journeys to building and deploying superior models with speed, reliability, and efficiency,” said Seann Gardiner, VP, business development, Weights & Biases.

“Pure Storage’s Nvidia-validated reference architectures and proofs of concept provide enterprises across industries a shortcut to AI success. Rather than investing valuable time and resources in building an AI architecture from scratch, Pure’s proven frameworks not only mitigate the risk of expensive project delays but also guarantee a high return on investment for AI team expenditures like GPUs,” said Mike Leone, principal analyst, ESG .

Industry significance:
Today, the majority of AI deployments are dispersed across fragmented data environments – from the cloud to ill-suited (often legacy) storage solutions. Yet these fragmented environments cannot support the performance and networking requirements to fuel AI data pipelines and unlock the full potential of enterprise data.

As enterprises further embrace AI to drive innovation, streamline operations, and gain a competitive edge, the demand for robust, high-performance, and efficient AI infrastructure has never been stronger.

Pioneering enterprise AI deployments, particularly among a rapidly growing set of Fortune 500 enterprise customers, Pure provides a simple, reliable, and efficient storage platform for enterprises to leverage the potential of AI, while reducing the associated risk, cost, and energy consumption.

Resources:
Blog Post: Optimize GenAI Applications with Retrieval-augmented Generation from Pure Storage and Nvidia   
Blog Post: Pure Data Storage Platform for AI Expands with Nvidia OVX Server and Full-stack AI Solutions    
Pure Storage AI Customer Momentum    
Pure Storage AI Storage Solutions that Drive Efficiency