Summary
The first in-person NVIDIA GTC AI conference in five years takes place in San Jose, California, from March 18-21, 2024. Meet with us at booth #1529 to learn how our data platform for AI can help you accelerate model training and inference, improve operational efficiency, and more.
AI thought leaders, tech industry heavyweights, and business leaders gathered in San Jose, California, from March 18-21 for the first in-person NVIDIA GTC conference in five years. Pure Storage was both an in-person and virtual event conference sponsor at NVIDIA GTC 2024.
Our two big announcements:
We were also there to show how our data platform for AI can:
- Help you accelerate model training and inference
- Improve operational efficiency for AI/IT infrastructure teams, as well as AI/ML developers and engineers
- Deliver cost and energy efficiency as you scale
- Provide an AI storage platform that delivers ultimate reliability and is built to handle all of your future AI storage needs
Demos and an Expert Speaking Session
At the show, we had new demonstrations on how GenAI retrieval-augmented generation (RAG) can customize foundation LLM models to make their responses more timely, accurate, and relevant. We showed how Pure Storage can help AI developers with enterprise Kubernetes storage services and new AI ecosystem partner validations that fast-track your AI projects.
Our session, “Maximize AI Velocity: Accelerate Developer Efficiency with Kubernetes and NVIDIA GPU-Optimized Solutions” with Bhavin Shah, Sr. Technical Marketing Manager for Portworx at Pure Storage, shared how to simplify deploying stateful apps on Kubernetes and streamline processes with automation and self-service.
Learn more about the latest on GenAI, RAG and how Pure Storage and NVIDIA help enterprises accelerate AI
Watch these on-demand videos to learn more:
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GenAI, RAG, Say What?
On April 17, host Andrew Miller welcomes back Miroslav Klivansky, Global Practice Lead for AI & Analytics at Pure Storage, to walk through AI.