ON DEMAND WEBINAR
Duration: 38 minutes

AI is rapidly moving from experimentation to real-world execution. As AI workloads scale, rising cloud costs, data gravity, latency, and security and compliance demands are prompting enterprises to reassess cloud-only strategies and bring critical workloads closer to their data and teams.

In this session, HP explores how organizations enable this shift with a practical, outcome-driven approach to local AI development. We highlight how the ZGX Nano, accelerated by the NVIDIA GB10 Grace Blackwell Superchip, and the ZGX Toolkit reduce friction across the AI lifecycle while meeting the needs of secure, controlled environments. Attendees will learn:

• Why enterprise AI is moving closer to the edge and the desk.
• How organizations address cost pressure, performance constraints, and data sovereignty by rethinking where AI workloads run.
• How HP and NVIDIA turn AI strategy into execution with faster, more secure on-prem AI development.

SPEAKERS

Curtis Burkhalter, Ph.D.
Technical Product Marketing Manager Advance Compute Solutions, HP Inc.