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June 19-20, 2024
Paris, France
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Wednesday, June 19 • 15:35 - 16:05
Introduction to Distributed ML Workloads with Ray on Kubernetes - Abdel Sghiouar, Google Cloud

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The rapidly evolving landscape of Machine Learning and Large Language Models demands efficient scalable ways to run distributed workloads to train, fine-tune and serve models. Ray is an Open Source framework that simplifies distributed machine learning, and Kubernetes streamlines deployment. In this introductory talk, we'll uncover how to combine Ray and Kubernetes for your ML projects. You will learn about: - Basic Ray concepts (actors, tasks) and their relevance to ML - Setting up a simple Ray cluster within Kubernetes - Running your first distributed ML training job
Speakers
avatar for Abdel Sghiouar

Abdel Sghiouar

Cloud Native Developer Advocate, Google Cloud
Abdel Sghiouar is a senior Cloud Developer Advocate @Google Cloud. A co-host of the Kubernetes Podcast by Google and a CNCF Ambassador. His focused areas are GKE/Kubernetes, Service Mesh and Serverless.

Wednesday June 19, 2024 15:35 - 16:05 CEST
Monge (Level 3)
  AI Systems & Performance
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