Training larger AI models often means spreading the work across multiple GPUs.
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Training larger AI models often means spreading the work across multiple GPUs. In this course, Kian explains Distributed Data Parallelism from the ground up. You'll learn about model parallelism, manual batch averaging, All Reduce, DDP hooks, plus the performance tradeoffs, too. https://www.freecodecamp.org/news/scaling-your-ai-models-with-micro-ddp/
Posted by freeCodeCamp.org (1.2M followers) 1 days ago · 330 likes · 18.3k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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