Event details
Webinar: How to measure and optimize AI infrastructure for large-scale training
TCO Insights for 2025
Budget pressures shouldn’t stall AI innovation. Join CoreWeave and guest Forrester as we decode the economics behind cutting-edge AI infrastructure. Leveraging Forrester’s industry research and CoreWeave’s experience powering AI infrastructure for leading AI labs and enterprises, this webcast demystifies total cost of ownership (TCO) for AI workloads. Gain a practical lens on cost drivers, from GPU generations and supporting AI infrastructure to deployment models and support. Discover how to align technical architectures with financial goals and secure executive buy-in for your next AI initiative.
In this session, you’ll learn:
- How TCO for AI infrastructure is evolving in 2025
- Hidden cost drivers (job interruptions, data egress, support)
- Scenario analysis: scaling from pilot to production
- A checklist to future-proof your AI budget
Speakers
Tracy leads Forrester’s research on FinOps, hybrid cloud management, IT financial management (ITFM), technology business management (TBM), and industry cloud in the financial services, retail, and healthcare industries. Tracy’s broader expertise focuses on cloud cost management, cloud governance, cloud skills, cloud center of excellence (CCOE), cloud platform teams, industry cloud, hybrid cloud management, and public cloud pricing. Tracy delivers strategic guidance to Forrester’s enterprise and vendor clients by helping them get cloud costs under control and build out effective cloud organizations. During her tenure at Forrester, she has advised leading Fortune 100 and Fortune 500 companies on their cloud strategies and has been frequently cited in major news outlets including TechTarget, Business Insider, The Wall Street Journal, and Computer Weekly.
Urvashi Chowdhary is the Vice President of Product Management for AI Services at CoreWeave. She brings more than a decade of experience from AWS, where she built and scaled core cloud platforms and services. Before AWS, Urvashi held roles across strategy, business development, and engineering in the cloud computing space, giving her a broad perspective on both the technical and business dimensions of emerging cloud technologies. Passionate about working with customers, she is dedicated to helping organizations adopt and thrive with next-generation AI and cloud solutions.
