Streamlining AI Workflows with Apache Airflow and Ray | Ray Summit 2024 @anyscale
Streamlining AI Workflows with Apache Airflow and Ray | Ray Summit 2024  @anyscale
Uploaded October 2024 | Updated September 2026, 2 weeks ago
At Ray Summit 2024, Venkata Jagannath from Astronomer and Marwan Sarieddine from Anyscale present a comprehensive solution for AI infrastructure orchestration. The talk addresses the common challenge organizations face in creating a cohesive AI infrastructure, often resulting in disconnected platforms for data processing, model training, and inference.

The speakers demonstrate how the integration of Apache Airflow and Ray creates a unified system capable of handling all aspects of AI development and deployment, regardless of data or model size. They showcase an end-to-end ML lifecycle implementation for custom data, covering automated LLM fine-tuning, evaluation, serving, and LoRA deployments. This session offers practical insights for organizations looking to streamline their AI operations, reduce development time, and optimize costs in production environments.

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Interested in more?
- Watch the full Day 1 Keynote: youtu.be/jwZHJthQvXo
- Watch the full Day 2 Keynote youtu.be/Lury2ad6KG8

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Streamlining AI Workflows with Apache Airflow and Ray | Ray Summit 2024

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