NVIDIA Megatron Core 如何扩展位级确定性预训练
Scale Bitwise-Deterministic Pretraining with NVIDIA Megatron Core
NVIDIA Megatron Core 支持位级确定性（bitwise determinism）的大规模预训练，让训练过程更易调试、验证和可复现地恢复。在数千块 GPU 上训练万亿参数模型时，多种并行维度、低精度计算和分布式 checkpoint 会加大故障复现与修复验证的难度，位级确定性正是针对这一场景。
Bitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits become especially valuable when training...
Bitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits become especially valuable when training models with trillions of parameters across thousands of GPUs, where multiple parallelism dimensions, low-precision computation, and distributed checkpointing complicate failure reproduction and fix validation.
来源：NVIDIA Technical Blog · developer.nvidia.com