ray

Distributed Python compute with Ray — @ray.remote tasks/actors for cluster-scale parallelism, Ray Data for large-batch preprocessing, Ray Train for distributed model training (DDP/FSDP/DeepSpeed), Ray Tune for scalable hyperparameter search, and Ray Serve for model serving. Use when scaling a Python workload (docking screens, million-cell atlas preprocessin…

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