Unverified50% confidenceSolutionExact time
Distributed training strategies such as DeepSpeed ZeRO, FSDP, tensor parallelism, and pipeline parallelism are necessary tools for training large video models.
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8/30/2026
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Unverified大模型并行训练需要掌握数据并行、张量并行、流水线并行三种策略的组合调度，并使用NCCL通信库和Megatron-LM、DeepSpeed等框架78% similarUnverifiedDistributed training is mainly divided into data parallelism (such as PyTorch DDP) and model parallelism (such as Megatron-LM's pipeline parallelism).73% similarUnverifiedMainstream training frameworks such as Megatron-LM and DeepSpeed generate detailed checkpoints and data-loading records during distributed training.71% similarVerifiedModern large model training typically employs a combination of multiple parallelism strategies simultaneously—including data parallelism, pipeline parallelism, tensor parallelism, and expert parallelism—forming a 3D or 4D parallel architecture.70% similarUnverifiedTechniques such as mixed-precision training and gradient accumulation enable training of larger models under limited GPU memory.70% similar
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