Efficient Large-Scale Language Model Training on GPU ...
on NVIDIA DGX A100 servers (with 8 80GB-A100 GPUs), it breaks down for larger models. Larger models need to be split across multiple multi-GPU servers, which leads to two problems: (a) the all-reduce communication required for tensor parallelism needs to go through inter-server links, which are slower than the high-
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