Maximizing Efficiency for Generative AI

Generative AI, like most at-scale computing, presents technology challenges unlike anything you have done before, and it may appear exceedingly difficult: to meet them, you need end-to-end integration and full-stack optimization in the most efficient way possible.

In our latest webinar with The Register you can listen to two of the experts with the knowhow you need, born out of over 3 years of collaboration using the very largest NVIDIA DGX SuperPODs in the world: from NVIDIA, Premal Savla, and DDN, Dr. James Coomer. Together they will explain:

• How NVIDIA’s Accelerated Computing uses parallel processing to speed up demanding applications.
• How DDN’s Parallel Data Architecture and new QLC Flash solutions drive AI acceleration even further and maintain efficiency at any scale.
• How they work together in SuperPOD solutions ensuring your AI strategy success while minimizing complexity.