Experience Colossal Performance, Scalability, and Adaptability at NVIDIA GTC

AI enthusiasts from around the world will be headed to San Jose, California, March 17-21, 2025, for NVIDIA GTC. Here’s a sneak peek of what’s in store.

NVIDIA GTC

Summary

NVIDIA GTC AI conference takes place in San Jose, California, March 17-21, 2025. Meet with us at booth #1309 to learn how our data platform for AI can help you accelerate model training and inference, improve operational efficiency, and more. 

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In just a few weeks, from March 17-21, AI thought leaders, tech industry heavyweights, and business leaders will gather in San Jose, California, for NVIDIA GTC 2025. Pure Storage will be back, sharing the future of storage for HPC and AI. Meet with Pure Storage at booth #1309 to learn how our data platform for HPC and AI can:

  • Achieve industry-leading extreme performance
  • Realize unparalleled scalability on both performance and capacity dimensions
  • Adapt to workloads as models and frameworks evolve and support GPU pools 
  • Deliver faster time to outcomes

If you haven’t registered yet, get 20% off registration with this registration link from Pure Storage.

Don’t Miss Our Demos and Expert Speaking Session

Stop by to see demonstrations showcasing how Pure Storage has overcome the performance limitations previously set on HPC on AI workloads and learn about our new validated reference architectures that can fast-track your AI projects. Massive training and real-time inference workloads are pushing traditional infrastructure to its limits, requiring faster, more scalable solutions. 

We’ll show you how we’re changing performance, scale, and adaptability with recent certified and validated solutions, including Pure Storage and NVIDIA DGX SuperPOD™.

Don’t miss Pure Storage CTO Rob Lee’s session, “Enabling Exabyte Scale AI Training and Inference” on March 17, from 4:00-4:40 PM PDT. Lee will address the challenges AI and HPC practitioners have been facing, perpetuated by traditional parallel storage’s struggle to keep pace. Lee will address the performance, underutilized GPUs, scalability, metadata constraints, and more that are driving up total cost of ownership.

Pure Storage will have HPC AI, industry, and all-flash storage experts on hand. We’ll also have validated reference architectures for enterprise AI applications and demos that show how the right storage solution for large-scale training and inference can jump-start enterprise HPC and AI projects. 

See you in a few weeks, and don’t forget to book a meeting.

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