Ep 60: Data vs Model Parallelism — Two Ways to Scale | LLM Mastery Podcast
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YouTubecarlos Hernandez
Ep 60: Data vs Model Parallelism — Two Ways to Scale | LLM Mastery Podcast
Here's what you need to know about data vs model parallelism — two ways to scale: - Data parallelism replicates the model on every GPU and splits data; it is the simplest approach but limited by GPU memory since each GPU needs a full model copy - Pipeline parallelism splits layers across GPUs; the bubble problem wastes compute, but micro ...
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