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Multi-tenant Data Processing with Ray: Phaidra's Approach to Industrial AI | Ray Summit 2024

Phaidra is reshaping the landscape of industrial and data center optimization with AI-driven controls. In this illuminating session, Brandon Hernandez and Jerry Luo unveil Phaidra's innovative approach to building a multi-tenant data processing platform on Ray for Reinforcement Learning agents.

The presenters delve into the architecture of their Ray-based platform, which forms the backbone of their data ingestion, transformation, and feature processing operations. They explore how this system has accelerated customer onboarding and streamlined model deployment in production environments. Hernandez and Luo also address the challenges they faced in achieving isolation and efficient resource utilization for multi-tenancy, offering valuable insights for organizations looking to scale their AI workloads while maintaining performance and security.

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Interested in more?
- Watch the full Day 1 Keynote: https://youtu.be/jwZHJthQvXo
- Watch the full Day 2 Keynote https://youtu.be/Lury2ad6KG8
- Check out the Ray Summmit Breakout sessions https://youtube.com/playlist?list=PLzTswPQNepXntmT8jr9WaNfqQ60QwW7-U&si=qPw-_SxT9lVmbRGE

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Видео Multi-tenant Data Processing with Ray: Phaidra's Approach to Industrial AI | Ray Summit 2024 канала Anyscale
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