Anyscale
Anyscale is a fully-managed compute platform built on Ray, an open-source unified framework for scaling Python-based AI and ML workloads. Founded in 2019 by the creators of Ray at UC Berkeley's RISELab, Anyscale enables developers to build, debug, and deploy AI applications at any scale—from a laptop to a data center—without managing infrastructure. The platform supports data processing, model training, fine-tuning, and inference workloads across CPUs and GPUs, with built-in fault tolerance, auto-scaling, and cost governance.
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as of August 23, 2022 (Source)
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A unified framework for scaling AI and Python applications, consisting of a core distributed runtime and a set of AI libraries for data processing, training, hyperparameter tuning, reinforcement learning, and model serving.
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