Learn why thousands of organizations use Ray open-source, a unified framework for scalable computing, to speed AI development and scale machine learning and Python workloads and the Anyscale Platform, an enterprise-ready managed Ray platform, to accelerate time-to-market.
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Ray breaks the $1/TB barrier as the world’s most cost-efficient sorting system
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Business Insider on how OpenAI used Ray to train ChatGPT and their largest ML models. More than anyone, OpenAI pushes the limits of scalability in AI.
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.
The scalable compute platform from the creators of Ray that eases building, deploying, and managing scalable AI and Python applications on Ray.
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.