英伟达发布Nemotron-Labs-TwoTower离散扩散语言模型，解决大模型逐token生成速度慢的痛点，权重已在Huggingface开源。该模型复用现有骨干网预训练权重，无需从头训练，显著降低成本。采用60B双塔架构，两座30B网络并行协同，每塔激活3B参数并搭载128个可路由专家模块，提升生成效率。
英伟达开源Nemotron-Labs-TwinTower扩散语言模型，通过“双塔”架构突破自回归模型的串行解码瓶颈。该模型将生成任务拆分为两个子网络，其中一个保持冻结，以并行方式提升文本生成吞吐量，为大规模合成任务提供高效新解法。
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