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Home AI/ML Pure Storage unveils anti-hallucination AI tech at Nvidia’s GTC
 * AI/ML
 * Flash


PURE STORAGE UNVEILS ANTI-HALLUCINATION AI TECH AT NVIDIA’S GTC

By
Chris Mellor
-
March 18, 2024
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Pure Storage is announcing anti-hallucinatory Retrieval-Augmented Generation
(RAG) reference architectures at Nvidia’s GTC event to add an organization’s own
data to GenAI chatbots and make their answers more accurate.

GTC, Nvidia’s Global Technology Conference, is being held this week in San Jose,
CA, with an AI focus. 

Rob Lee, Pure CTO, said: “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 longstanding collaboration with
Nvidia, the latest validated AI reference architectures and generative AI proofs
of concept emerge.”

There are four aspects to Pure’s news:


 * Retrieval-Augmented Generation (RAG) Pipeline for AI Inference: This uses
   Nvidia’s NeMo Retriever microservices and GPUs and Pure’s all-flash storage
   for enterprises using their own internal data for faster AI training. 
 * Vertical RAG Development: First, Pure Storage has created a financial
   services RAG system in conjunction with Nvidia to summarize and query massive
   datasets with higher accuracy than off-the-shelf LLMs. Financial services can
   use AI to create instant summaries and analysis from various financial
   documents and other sources. Additional RAGs for healthcare and public sector
   are to be released. 
 * Certified Nvidia OVX Server Storage Reference Architecture: Pure Storage has
   achieved OVX Server Storage validation, providing enterprise customers and
   channel partners with storage reference architectures, validated against
   benchmarks to provide a strong infrastructure foundation for cost and
   performance-optimized AI hardware and software solutions. This validation
   complements Pure Storage’s certification for Nvidia’s DGX BasePOD announced
   last year. 
 * Expanded Investment in AI Partner Ecosystem: Pure Storage has new
   partnerships with ISVs like Run.AI and Weights & Biases. Run.AI optimizes GPU
   utilization through advanced orchestration and scheduling, while the Weights
   & Biases AI Development platform enables ML teams to build, evaluate, and
   govern the model development life cycle.

In a supporting quote supplied by Pure, ESG principal analyst Mike Leone said:
”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.”

Read more in a Pure blog – Optimize GenAI Applications with Retrieval-augmented
Generation from Pure Storage and Nvidia – which should be live from 10pm GMT/3pm
PT, March 18.

Bootnote

Nvidia’s OVX systems are designed to build virtual worlds using 3D software
applications and to operate immersive digital twin simulations in Nvidia’s
Omniverse Enterprise environment. They are separate from Nvidia’s AI-focused DGX
GPU servers.

 * TAGS
 * Nvidia
 * Pure Storage
 * RAG

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