Pure Storage Accelerates Enterprise AI Adoption to Meet Growing Demands with NVIDIA AI
Pure Storage, the IT pioneer that
delivers the world's most advanced data storage technology and services, today
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," said, 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," said, Bob Pette, Vice President of 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
"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 of 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
Leave A Comment