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:

• Identify where GPU capacity is going unused and its financial impact
• Increase GPU utilization across AI workloads and lower cost per token
• Turn AI infrastructure into a higher-return investment