NVIDIA Transformer Engine 加速 JAX 中的 Dropless MoE 训练
Accelerating Dropless MoE Training in JAX with NVIDIA Transformer Engine
NVIDIA 用 Transformer Engine 加速 JAX 中的 Dropless MoE 训练。MoE 已成为大规模 AI 模型训练的标志性架构趋势，DeepSeek、Qwen、Mixtral 都是通过条件计算以更低训练算力达到或超过稠密模型性能的 MoE 模型代表。
Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE...
Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE models that match or exceed the performance of dense model counterparts at a fraction of the training compute. MoE models provide efficient training through conditional computation. Instead of one dense feed-forward network (FFN) shared…
来源：NVIDIA Developer Blog · developer.nvidia.com