AI product
Ray is an open-source, Python-native framework for managing, executing, and optimizing distributed computing workloads, developed by Anyscale. Its core provides tasks, actors, and objects for scaling Python applications, while higher-level libraries support data processing, distributed model training, batch and LLM inference, model serving, reinforcement learning, and end-to-end generative-AI workflows. Ray can coordinate heterogeneous CPU and GPU resources and scale workloads from a laptop to clusters with thousands of GPUs.
1 use taken from transcripts — each links to the moment in the video.
Runs distributed synthetic-data jobs and coordinates GPU and CPU workloads.
1 in the library.