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Making the Most Out of Hardware Accelerators in Kubernetes Clusters

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Kubernetes Courses TensorFlow Courses MLOps Courses Scaling Courses TPUs Courses Kubeflow Courses

Course Description

Overview

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Explore techniques for optimizing hardware accelerators in Kubernetes clusters for MLOps in this 25-minute conference talk. Learn how to efficiently manage GPUs and TPUs using open-source projects like Kubeflow, TensorFlow, and Kubernetes. Discover strategies for differentiating between compute instances and hardware accelerators, determining appropriate Pod placement, scaling, time-sharing accelerators, and establishing effective compute-accelerator links. Gain valuable insights to enhance machine learning workload performance and maximize the potential of your hardware resources in a Kubernetes environment.

Syllabus

Making the Most Out of Your Hardware Accelerators in a Kubernetes Clu... Rishit Dagli & Shivay Lamba


Taught by

CNCF [Cloud Native Computing Foundation]

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