The Cost of Idle GPUs in an AI Factory and How to Fix It
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
- Duration: 47 Minutes
Matheen’s tenure at Amazon Web Services honed his expertise in product marketing and business development strategy, where he successfully led go-to-market campaigns.
He has held roles at Red Hat, Google Cloud, Actifio, Dell, and EMC, where he led cross-functional teams, mentored talent, spoke at industry events, and developed technical content. Jason is also a trusted subject matter expert across his products and areas of focus.
VirooPax is passionate about solving complex problems, driving product vision, and collaborating with engineering teams. He also has experience as a strategic advisor, guiding companies towards the next generation of cloud, SaaS, and DaaS products for global rollout.
