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Whatever your preference, there are lots of ways to connect with the global Ray and Anyscale community.

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Github

Follow projects, track issues, file bugs and feature requests, or contribute to Ray code.

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Slack

Connect with other users and project maintainers on the official Ray Slack channel.

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Discuss

Join the forum to get technical help and share best practices and tips with the Ray community.

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We chose Ray as the unified compute backend for our machine learning and deep learning platform because it has allowed us to significantly improve performance and fault tolerance, while also reducing the complexity of our technology stack. Ray has brought significant value to our business.

Xu Ning, senior manager, Uber AI Plaform

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