Pure Storage at NVIDIA GTC
Washington, D.C.

Kaycee Lai, VP, AI, Pure Storage
Date & Time: Wednesday, Oct 29 12:40 PM - 12:55 PM ET

For today’s CIOs and enterprise AI leaders, the path to meaningful AI outcomes doesn’t begin with algorithms—it begins with data. From model training to deployment at scale, the foundation of successful AI lies in how organizations manage, prepare, and govern their data.

How can organizations better conquer their data challenges with AI and what is keeping them from making that happen? How do NVIDIA and Pure together make it easier, simpler?

Join us for a strategic conversation on accelerating enterprise AI by addressing the most critical—and often underestimated—challenges: enterprise data readiness, and seamless infrastructure integration across Enterprise AI Factories.

This session will also introduce the Pure Intelligence Platform—a new, co-engineered AI Data Platform from Pure Storage and NVIDIA—designed specifically to accelerate data readiness and optimize enterprise inference with simplicity, performance, and observability built in.
This session will explore:

• How to build a future-ready AI strategy rooted in trusted, observable, and accessible data
• The evolving role of CIOs and CDOs in enabling responsible AI across hybrid environments
• How enterprises are addressing performance, monitoring, and optimization challenges across large-scale training and inference in AI Factories
• How the new Pure Intelligence Platform helps enterprises maximize the business value of inference workloads
• Real-world case studies on how enterprises are building AI infrastructure with NVIDIA and the Pure Storage platform