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@NVIDIAAI: Long video generation is a systems problem. Introducing LongLive-2.0 from NVIDIA Research: an end-to-end NVFP4 training and inference syste...

@NVIDIAAI 3 信息等级 3 1 噪音/剔除;2 较弱;3 普通事实;4 重要行业动态;5 极重大事件。该分数是信息显著性,不是投资建议。 发布:2026-05-22T20:21 抓取:2026-05-24 12:57
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摘要

英伟达研究院发布LongLive-2.0系统,用于长视频生成的端到端NVFP4训练和推理,通过对齐训练与推理,提升速度与内存效率。

客观事实
  • 英伟达研究院发布长视频生成系统LongLive-2.0
  • 系统采用NVFP4低精度训练和W4A4推理
  • 在保持基准质量的同时提升速度和内存效率
英伟达研究院 LongLive-2.0 NVFP4

原文

Long video generation is a systems problem.

Introducing LongLive-2.0 from NVIDIA Research: an end-to-end NVFP4 training and inference system for long video generation.

Low-precision deployment often relies on post-training quantization, creating a gap between how models are trained and how they run.

LongLive-2.0 aligns NVFP4-aware training, distillation, and W4A4 inference, maintaining strong benchmark quality while improving speed and memory efficiency.

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