Optimized AI Workloads on Anyscale with RayTurbo
Offered By: Anyscale via YouTube
Course Description
Overview
Discover how Ray optimizes AI workloads across diverse computing environments in this 40-minute conference talk. Explore Ray's evolution from a 2016 research project to a widely adopted framework used by leading AI organizations. Learn about Anyscale's Advanced Instance Manager, which extends RayTurbo capabilities to cloud, on-premises, and Kubernetes environments. Gain insights into the Anyscale Governance Suite, designed to prevent AI sprawl. Delve into Anyscale's Advanced Instance Management features, global compute management strategies, and methods for implementing AI governance guardrails. Understand how Ray unifies infrastructure and enables flexible execution of AI tasks from data processing to model training and serving.
Syllabus
Optimized AI Workloads on Anyscale with RayTurbo
Taught by
Anyscale
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