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Ray/Anyscale

Data Science, Analytics and AI/ML

Ray is an open-source distributed computing framework that makes it easier to scale Python applications, particularly machine learning workloads like distributed training, hyperparameter tuning, and reinforcement learning, across clusters of machines. Anyscale is the company founded by Ray's original creators (from UC Berkeley's RISELab) that offers a managed platform and commercial support built on top of Ray. Machine learning engineers and data scientists use these tools to scale compute-intensive AI workloads beyond a single machine.

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