Ray is an open source unified compute framework for scaling ML and Python workloads. With Ray, training, tuning and serving many models or massive models is reduced to minutes. Learn more about Ray, and the Anyscale Platform, an enterprise-ready managed Ray platform.
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Spotlight
Announcing Aviary from Anyscale. Quickly select and deploy LLMs for your AI applications.
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Building an LLM open source search engine in 100 lines using LangChain and Ray
Companies are using Ray to scale ML and Python workloads including everything from data ingest, to preprocessing, hyperparameter tuning, training, and model serving at scale.
Companies are using Ray to scale ML and Python workloads including everything from data ingest, to preprocessing, hyperparameter tuning, training, and model serving at scale.
Orchestration
Experiment management
Hyperparameter Tuning
Training
Data / features
Serving / Applications
Explainability / Observability
Effortlessly scale all workloads from data loading to training to hyperparamer tuning, to reinforcement learning and model serving. Learn more about all capabilities and the Ray AI Runtime (AIR).
Organizations globally are using Ray and Anyscale for diverse solutions from recommendation systems, to supply-chain logistics optimization to pricing optimization, virtual environment simulations, and more.
Anyscale is a fully managed scalable Ray compute platform that provides the easiest way to develop, deploy and manage Ray applications.