Uploaded May 2025 | Updated September 2026, 3 weeks ago

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[2025 - Day 2 - MLOps & Platforms] Nikita Vemuri shares insights from scaling distributed ML training across thousands of nodes with Ray, exploring the observability challenges of tracking vast amounts of system data in multi-node environments. Whether you're running large-scale ML workloads or building monitoring systems for distributed training, this talk offers valuable perspectives on correlating information across clusters and designing observability stacks that surface relevant insights while maintaining data privacy.

ABOUT THE SPEAKER:
Nikita Vemuri, Software Engineer, Anyscale -

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