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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.
