Explore the future of AI scaling in this keynote from Ray Summit 2024, featuring Anyscale co-founders Ion Stoica and Robert Nishihara. Discover how Ray, the AI Compute Engine, addresses the "AI Complexity Wall" by supporting diverse AI/ML workloads, handling multimodal data, and optimizing resource allocation. Learn about Ray's impact on companies like Instacart, Niantic, and Canva, and delve into Anyscale's advanced AI workflow features. Gain insights on Compiled Graphs, Ray Data, stability improvements, RayTurbo, Machine Pools, Kubernetes Operator, Advanced Instance Manager, Governance Suite, reimagined UX, and the LLM Suite. Understand how these cutting-edge solutions tackle AI workload management and deployment challenges, and learn about Anyscale's availability on AWS and GCP marketplaces.
Anyscale's Vision and Ray AI Compute Engine - Future of AI Scaling
Overview
Syllabus
The keynote begins by addressing the growing "AI Complexity Wall"—a challenge arising from five key trends in AI:
To break through this wall, Stoica and Nishihara introduce Ray as the AI Compute Engine—a solution that supports any AI/ML workload, handles diverse data types and model architectures, optimizes resource allocation, and scales seamlessly while abstracting complexity from developers. They showcase how Ray has enabled companies like Instacart, Niantic, and Canva to achieve remarkable improvements in data processing, code efficiency, and cost reduction.
Compiled Graphs
Ray Data, now generally available
Significant stability improvements to Ray, including 4x supported nodes
RayTurbo: Anyscale's Optimized Ray Runtime
Anyscale Machine Pools
Anyscale's Kubernetes Operator
Anyscale's Advanced Instance Manager
Anyscale Governance Suite
Reimagined Anyscale UX
Anyscale LLM Suite
Anyscale availability on AWS and GCP marketplaces
Taught by
Anyscale
