FinOps Meets GenAI: Optimizing the Cost of Intelligence

Generative AI workloads are reshaping whole industries — but they’re also some of the most expensive and unpredictable to run in the cloud. As organizations race to integrate GenAI into their products and pipelines, FinOps becomes essential for keeping innovation sustainable. In this session, we’ll demystify these workloads by breaking them down into four GenAI technology layers and explore the optimization strategies that apply to each. Not only will we unpack how FinOps principles can be applied to manage unique challenges including GPU utilization, financial forecasting, and chargeback strategies but we’ll dive into unit cost metrics that can be used to reliably measure and improve cost efficiency.

Speakers

Malino Oda

VP of Engineering at IBM Cloudability

Andrew Midgley

Principal Product Marketing Manager at Apptio