Episode 19: AI Cloud Essentials Podcast
Scaling AI workloads across massive GPU clusters introduces a new level of infrastructure complexity. In this episode of AI Cloud Essentials, host Ritu Jyoti sits down with Christian from Anyscale to explore how Anyscale and CoreWeave bring together distributed AI software and high-performance GPU infrastructure to help teams build, train, and run AI workloads at scale.
Learn how Ray and the Anyscale platform work with CoreWeave infrastructure to give AI teams greater scalability, observability, and control while reducing the operational burden of managing distributed workloads. Christian also discusses the growing importance of multi-cloud AI infrastructure, where AI adoption is accelerating, and how the teams stood up a large-scale GPU cluster running data-generation workloads in under 24 hours.
What you’ll learn
- How Anyscale and CoreWeave combine AI software and GPU infrastructure
- How Ray orchestrates distributed AI workloads at scale
- Why large GPU environments introduce new infrastructure challenges
- How specialized platforms can reduce complexity and accelerate deployment
- Why multi-cloud infrastructure is becoming increasingly important for AI teams
- How organizations are scaling AI across robotics, biotech, financial services, ecommerce, and other industries
Guest: Christian Stano, Field Chief Technology Officer, Anyscale
