YoVDO

Docker Containers for Machine Learning on Specialized AI Hardware

Offered By: Docker via YouTube

Tags

Docker Courses Machine Learning Courses GPU Computing Courses Containerization Courses Heterogeneous Computing Courses AWS Inferentia Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of running machine learning workloads on specialized AI hardware using Docker in this 35-minute talk by AWS Developer Advocate Shashank Prasanna. Delve into the evolution of specialized processors, from early coprocessors to modern GPUs and AI accelerators like AWS Inferentia and Intel Habana Gaudi. Discover how Docker containers adapt to heterogeneous systems with multiple processor types, ensuring scalability and maintaining their benefits. Gain insights into the future of machine learning workloads across diverse AI silicon, including GPUs, TPUs, and emerging technologies. Learn about the crucial role containers play in managing these complex, multi-processor environments for efficient machine learning deployments.

Syllabus

How does Docker run machine learning on specialized AI


Taught by

Docker

Related Courses

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
University of Illinois at Urbana-Champaign via Coursera
Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX
Introduction aux conteneurs
Microsoft Virtual Academy via OpenClassrooms
The Docker for DevOps course: From development to production
Udemy
Windows Server 2016: Virtualization
Microsoft via edX