Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism
Training large language models (LLMs) at massive scale faces infrastructure challenges due to long runtimes and thousands of GPUs. Nonuniform tensor parallelism helps mitigate slowdowns caused by device unavailability and resource fluctuations.