Name: Introduction to Distributed ML Workloads with Ray on Kubernetes - Abdel Sghiouar, Google
Start: 2024-12-11T16:50:00+0530
End: 2024-12-11T17:25:00+0530

In-person
11-12 December
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Wednesday December 11, 2024 4:50pm - 5:25pm IST

Room 4

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

Abdel Sghiouar

Cloud Developer Advocate, Google

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 December 11, 2024 4:50pm - 5:25pm IST
Room 4

Cloud Native Novice

Content Experience Level Beginner

KubeCon + CloudNativeCon India 2024

Abdel Sghiouar

Attendees (4)

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