Ray: A Distributed Compute Engine for AI
summary
Ray claims to be a general distributed compute engine built for modern AI, reporting 7x downloads last year and adoption by thousands of companies. It exposes two concrete primitives — executing Python functions as remote tasks and instantiating classes as actors — enabling fine-grained orchestration of processes and data movement. Ray runs on heterogeneous clusters, supporting hundreds of GPU types and RDMA/Infiniband networking and coordinates multimodal pipelines that mix CPU preprocessing and GPU inference, and powers nearly every open source RL stack.
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chapters (6)
- 0:00Ray introduction
- 3:37Ray’s evolution to general AI
- 6:51Ray in AI infrastructure
- 10:05Ray core primitives
- 12:32Ray with PyTorch & Kubernetes
- 14:15Ray’s future in AI
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