LLM Parallelism Explained: Data, Tensor, and Pipeline Parallelism
Introduction Training large language models (LLMs) requires enormous amounts of computing power and memory. As models grow to billions or even trillions of parameters, a single GPU may not have enough resources to train them efficiently. LLM parallelism allows organizations Read more