Making the Most Out of Hardware Accelerators in Kubernetes Clusters
Offered By: CNCF [Cloud Native Computing Foundation] via YouTube
Course Description
Overview
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]
Related Courses
Web DevelopmentUdacity Fractals and Scaling
Santa Fe Institute via Complexity Explorer Adobe Experience Manager and MongoDB
MongoDB University Google Cloud Platform for AWS Professionals
Google via Coursera Inove na gestão de equipes e negócios: O crescimento da empresa
Universidade de São Paulo via Coursera