Leverage the best of Ray and Google Kubernetes Engine (GKE) to build your next-generation machine learning (ML) platform. Google and Anyscale are making Ray and Kubernetes the distributing operating system for AI/ML. Discover how on GKE, Ray enables you to deliver a unified platform to scale your workloads from development to large-scale production. Learn about GKE’s latest advancements for fast data access, intelligent scheduling, and optimized utilization of hardware accelerators, and how Ray and Anyscale RayTurbo are enhancing that with best-in-class performance, efficiency, and developer productivity. Leave this session equipped to build a scalable AI/ML platform to empower your researchers and engineers.
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Speaker
Edward Oakes
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talks
Staff Engineer
Anyscale
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