Unverified70% confidenceFactExact time
Megatron-LM was the first to systematically propose a tensor parallelism scheme for Transformers, splitting attention heads and FFN layers across different devices.
2
Sources
70%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
TensorRT多设备推理：突破单GPU显存瓶颈的工程实践
rss6/25/2026
Related Claims
Unverified相比RNN/LSTM架构，Transformer支持大规模并行计算73% similarUnverified在Transformer架构中，每个层由多头自注意力机制和多层感知机（MLP）两个核心子模块组成72% similarUnverifiedPreviously, multi-device support relied primarily on upper-level frameworks (such as Megatron-LM) to implement independently; TensorRT has internalized this as a native runtime capability.71% similarUnverifiedTransformers库集成了GPTQ、AWQ、bitsandbytes等量化技术和Flash Attention加速方案70% similarUnverifiedIn Megatron-LM's tensor parallelism scheme, the Query, Key, and Value projection matrices are split by column, the output projection matrix is split by row, and an All-Reduce communication is inserted at each end69% similar
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