Ray: A General Purpose Serverless Substrate? - Eric Liang, Anyscale
How Ray Empowered Ant Group to Deliver a Large-Scale Online Serverless Platform
Ray, Knative, and Running Serverless Workloads in the Cloud
A serverless resilient graph analysis platform built on Ray at ByteDance
A Deep Dive into Ray’s Scheduling Policy
Keynote: The Future of Ray - Robert Nishihara, Anyscale
[Opening Keynote] State of Ray
10 Zhe Zhang Ray as the Unified Compute Substrate for Machine Learning Applications
Ray and Anyscale: An Optimization Journey
Ray and Its Growing Ecosystem
Ray Internals: A Peek at `ray.get` - Stephanie Wang, Anyscale
The Quick Journey to Using Ray: How We Implement Ray and Anyscale to Speed up our ML Processes
The need for serverless Python | SciPy 2021
What's New with Ray Libraries: Tune - Richard Liaw, Anyscale
Improving Ray for Large-scale Applications
Ion Stoica – Ray: A Universal Framework for Distributed Systems
Keynote: Building a Fusion Engine with Ray - Dr. Charles He, Chief Architect of Storage and Compute
Deploying Many Models Efficiently with Ray Serve
Using Ray On Large-scale Applications at Ant Group - Jiaying Zhou, Ant Group
State of Ray Serve in 2.0