Model family

NVIDIA Cosmos

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Version scope and roles for these associations await verification.

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  • Cosmos3-Nano-Sim-Bimanual
  • Cosmos3-Nano-Sim-Transfer

NVIDIA Cosmos world foundation models for physical AI. This catalog entry currently covers the Cosmos 3 Nano interactive robot-simulation variants: action-conditioned visual dynamics and simulator-conditioned visual transfer.

Overview

Model type
World model
Listed versions
Cosmos3-Nano-Sim-Bimanual / Cosmos3-Nano-Sim-Transfer

Model history

November 2026

NVIDIA explains Cosmos3 interactive-simulation workflows

New resourcesOfficial announcement

The5November NVIDIA-authored introduction links four Cosmos3-Nano post-training examples and describes action contracts, streaming and adaptation. This catalog includes the two robot-relevant simulation variants; driving siblings are identified separately. Self-hosted serving examples do not establish a public hosted API.

Previously reported

The model cards name20October releases; the technical report appeared on4November.

This announcement

The5November NVIDIA-authored introduction links four Cosmos3-Nano post-training examples and describes action contracts, streaming and adaptation. This catalog includes the two robot-relevant simulation variants; driving siblings are identified separately. Self-hosted serving examples do not establish a public hosted API.

Ordinary history: explanatory integration material, not a first weights release on5November. No new artifact, licensing or independently verified capability change is established by the article date.

Cosmos interactive-simulation report details protocols and limits

New resourcesOfficial announcement

The4November arXiv report explains causal streaming, four-stage post-training and scoped camera/robot/video-transfer evaluations. Robot tests replay supplied actions rather than policy-chosen closed-loop actions; caption visibility and benchmark tradeoffs remain limitations.

Previously reported

The model cards already date the two simulation variants to20October.

This announcement

The4November arXiv report explains causal streaming, four-stage post-training and scoped camera/robot/video-transfer evaluations. Robot tests replay supplied actions rather than policy-chosen closed-loop actions; caption visibility and benchmark tradeoffs remain limitations.

Ordinary history: research and protocol disclosure for already released variants; no verified new model/access/license change or universally controlled capability breakthrough.

October 2026

Cosmos3 releases interactive Bimanual and Transfer simulation weights

New versionOfficial announcement

NVIDIA publishes two post-trained, causal-distilled Cosmos3-Nano variants: Sim-Bimanual predicts observations from robot/camera actions; Sim-Transfer generates RGB from simulator controls. Their model cards date the release to20October2026 and permit commercial/non-commercial use under OpenMDW1.1. These are visual world simulators, not robot-control policies.

Previously reported

Cosmos3-Nano provides the general foundation; robot-action and simulator-control interfaces require targeted adaptation and causal training.

This announcement

NVIDIA publishes two post-trained, causal-distilled Cosmos3-Nano variants: Sim-Bimanual predicts observations from robot/camera actions; Sim-Transfer generates RGB from simulator controls. Their model cards date the release to20October2026 and permit commercial/non-commercial use under OpenMDW1.1. These are visual world simulators, not robot-control policies.

Featured: new specialized downloadable weights materially change access and selection for interactive robot simulation. The date is the publisher-declared release, with initial HF commits on21OctoberUTC; no timezone is invented. The4November paper and5November introduction are later events. The currently pinned revisions are verified snapshots, not claimed to be the exact October20bytes.

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Versions

2

Papers & reports (1)

Interactive World Simulation with Cosmos for Physical AI

Paper available

arXiv: 2611.06627
Authors & affiliations (89)

Author order: Original order

  1. NVIDIATeam author; contributors listed in Appendix A

    Not provided

  2. Anis AhmadBimanual infer

    Not provided

  3. Jon AllenBenchmarks

    Not provided

  4. Malik Aqeel AnwarBenchmarks

    Not provided

  5. Jesse ArcherBimanual infer; Auto infer

    Not provided

  6. Maciej BalaBimanual infer; Transfer infer; Auto infer

    Not provided

  7. Piotr BarejkoOther contributions

    Not provided

  8. Aarti BasantBimanual infer; Auto infer

    Not provided

  9. Dan BlickInfra; Benchmarks

    Not provided

First published
2026-11-04
Latest paper revision
v1 · 2026-11-04
Venue
Not provided

Covered model versions

Paper ↗PDF ↗

Official resources

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