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NVIDIA DeveloperVideo

Meet Cosmos 3: Our Latest Frontier Model for Physical AI

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TL;DR · AI Summary

NVIDIA releases Cosmos 3, the first Omni model integrating vision, language, sound, and action, built on Mixture-of-Transformer architecture, achieving top scores across multiple physical AI benchmarks with open weights for customization and edge deployment.

Key Takeaways

  • Cosmos 3 is the first Omni model unifying language, video, sound, and action via
  • Two versions — Super (high accuracy) and Nano (lightweight edge deployment) — le
  • Open-source weights, training scripts, and datasets available on Hugging Face an

Outline

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  1. NVIDIA unveils Cosmos 3 as the first unified multi-modal physical AI model replacing prior discrete models.

  2. Built on Mixture-of-Transformer with autoregressive left tower and diffusion right tower, compatible with VLM, world model, and VLA architectures.

  3. Top-ranked in 6 physical AI benchmarks including VANTAGE-Bench, TAR, PAI-Bench, R-Bench, and RoboLab; first in open-source image-to-video generation.

  4. Offers Super (high precision) and Nano (edge-friendly) variants; weights and code available via Hugging Face and GitHub.

  5. Full open access to weights, training scripts, and datasets to lower entry barriers and accelerate physical AI innovation.

Mindmap

See how the topics connect at a glance.

查看大纲文本(无障碍 / 无 JS 友好)
  • NVIDIA Cosmos 3:全能物理AI模型
    • 核心架构
      • Mixture-of-Transformer
      • 左塔:自回归生成
        • 文本/语音生成
      • 右塔:扩散模型
        • 视频/动作生成
    • 性能表现
      • 6项基准榜首
      • 开源图像到视频生成第一
    • 部署方案
      • Super模型(高精度)
      • Nano模型(边缘部署)
    • 开发者生态
      • 开源权重(Hugging Face)
      • 训练脚本与数据集(GitHub)

Highlights

Key sentences worth saving and sharing.

  • Cosmos 3 is the first model to unify language, video, sound, and action under one Omni architecture using Mixture-of-Transformer with autoregressive + diffusion towers.

    Paragraphs 0:40–0:56

    ⬇︎ 下载 PNG𝕏 分享到 X
  • Achieved #1 rankings across 6 key physical AI benchmarks including VANTAGE-Bench, TAR, PAI-Bench, R-Bench, and RoboLab; first in open-source image-to-video generation.

    Paragraphs 1:45–2:04

    ⬇︎ 下载 PNG𝕏 分享到 X
  • Dual versions — Super for high-accuracy cloud use, Nano for lightweight edge deployment — enabling flexible application scaling.

    Paragraphs 1:28–1:37

    ⬇︎ 下载 PNG𝕏 分享到 X
#NVIDIA#Physical AI#Omni Model#Mixture-of-Transformer#Open Model

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