Super Data Science: ML & AI Podcast with Jon Krohn cover image

881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber

Super Data Science: ML & AI Podcast with Jon Krohn

CHAPTER

Understanding Tensor Parallelism in AI Models

This chapter explores the importance of tensor parallelism in AI models, focusing on how precise model parameters affect efficiency. It discusses various data types, including TP32, TP64, FP32, and int8, highlighting their roles in tensor operations and processing.

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