Webinar: The Cost of Idle GPUs in an AI Factory and How to Fix It

How NVIDIA and DDN Increase Utilization by 30% and Reduce Millions in Stranded Capital

AI factories require massive capital investment, yet a significant portion of that capacity often goes unused. Many organizations pay for 100% of their GPUs but operate at only about 60% utilization. That gap represents millions of dollars in stranded capital.

In this webinar, NVIDIA and DDN will show how leading enterprises identify and eliminate idle GPU capacity. By increasing utilization by over 30%, organizations can get more output from existing AI infrastructure and significantly lower their cost per token.

Attendees will learn how to:

• What an AI Factory is and the multiple components that make up the stack
• Why you must consider the data platform at the same time you consider compute during your AI Factory journey
• The financial impact of choosing the wrong data platform for your AI Factory
• How customers can operationalize an AI Factory quickly with pre-integrated industry pipelines