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May 7: Unbundling AI Orchestration and Execution

This month we have Donny Greenberg giving a talk about orchestration.

Thank you to NYU for hosting us.

Everybody attending must RSVP through the registration form at nyhackr. There is a charge for in-person and virtual tickets are free.

Space is extremely limited and in-person registration closes at 3 PM the day of the talk.

About the Talk:In recent years, the ML community has embraced containerization and pipeline orchestration as solutions to reproducibility challenges and production deployment. However, this approach has inadvertently created new bottlenecks in the development process. Deployment of researcher code takes weeks as it is translated into orchestrator nodes. Once there, future debugging or updates of the pipelines is similarly slow due to orchestrators’ lack of iterability and reliance on deployment to test changes. This talk will begin by pointing to the challenges with status quo research-to-production. Then, we propose how to separate orchestration and execution using the existing stack and open-source tooling. The result is an ML codebase that looks and executes identically in research and production, governed by software best practices instead of custom MLOps pathways.

About Donny:Donny is the co-founder and CEO of Runhouse. He was previously the product lead for PyTorch at Meta, supporting the AI community across research, production, OSS, and enterprise.

The venue doors open at 6:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 7:00 PM America/New_York.

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