A Sneak Preview of Next Generation Machine Learning Hardware
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the future of machine learning hardware in this 31-minute conference talk from the Toronto Machine Learning Series (TMLS). Gain insights from Senthil Nathan Sivaraj, Principal Engineer at Tenstorrent, as he provides an overview of dedicated machine learning processors and their advantages over traditional GPUs. Learn about the limitations of GPUs for AI processing and discover how specialized hardware like Tenstorrent's Grayskull chip is designed to revolutionize deep learning graph processing. Understand the key differences between these next-generation processors and conventional GPUs, and get a glimpse into the evolving landscape of AI hardware technology.
Syllabus
A Sneak Preview of Next Generation Machine Learning Hardware
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX