Awọn ile-iṣẹ Itọsọna

NVIDIA Awọn awoṣe Cosmos World Foundation

NVIDIA Cosmos is a platform of world foundation models, video tokenizers, and data tools for physical-AI development.

Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min

Lori iwe yi2 min ka
  1. Akopọ
  2. Jin Dive
  3. Real-World imuse
  4. Ojo iwaju ti NVIDIA Cosmos World Foundation Models
  5. Fifi o sinu iwa
  6. Tesiwaju Ṣiṣawari
  7. Awọn ibeere ti a beere nigbagbogbo

Akopọ

Its models can generate or predict video used in workflows for robotics and autonomous-vehicle research. Generated scenes are synthetic model outputs; they do not guarantee physically correct behavior or replace validation in simulation and real environments.

Jin Dive

NVIDIA announced Cosmos at CES in January 2025 as a platform for physical-AI development. The initial platform included pretrained world foundation models, a video curation pipeline, and video tokenizers, with model weights made available under NVIDIA’s open model license. The Cosmos family includes Predict models for future-state video generation and Transfer models that condition generation on spatial inputs such as depth or segmentation maps; model names and capabilities have evolved since the first release. Researchers can use generated or transformed video to add scenarios to development datasets, including rare events, but must validate quality and downstream effects rather than assume synthetic data is physically accurate.

Real-World imuse

Ṣiṣẹda awọn oju iṣẹlẹ awakọ sintetiki (awọn eewu to ṣọwọn, oju ojo, ina) lati kọ awọn eto iwoye awakọ ti ara ẹni

Asọtẹlẹ awọn fireemu fidio ojo iwaju ki robot le fokansi bi iṣẹlẹ kan yoo ṣe ṣii

Yiyipada ijinle tabi awọn maapu ipin sinu fidio fọtoyiya fun imudara data nipasẹ Gbigbe Cosmos

Awọn eto imulo robot ikẹkọ ṣaaju ni awọn aye afarawe ṣaaju fifiranṣẹ si ohun elo ti ara

Ojo iwaju ti NVIDIA Cosmos World Foundation Models

World-model research explores longer temporal prediction, richer controls, and integration with simulators and robotic data pipelines. Generated video may expand scenario coverage, but evaluation still needs independent physics checks and representative real data. As the Cosmos lineup changes, model-specific capabilities and license terms should be read from the current official model documentation.

Fifi o sinu iwa

Kini idi ti o ṣe pataki

  • Ilana olutaja. Awọn maapu opopona olutaja ni ipa kini awọn ẹya ti ẹgbẹ rẹ le kọ ni atẹle.
  • Iye owo ati isuna. Awọn ofin iṣowo ati awọn aṣayan imuṣiṣẹ ni ipa lori idiyele igba pipẹ ati eewu.
  • Ewu ati ailewu. Awọn imoriya ile-iṣẹ ṣe apẹrẹ awọn abawọn ọja, iduro ailewu, ati ṣiṣi.

Ṣọra fun

  • Awọn ikede ifilọlẹ le ju iduroṣinṣin lọ ni awọn iṣan-iṣẹ iṣelọpọ gidi.
  • Ifowoleri API tabi awọn iyipada eto imulo le fọ awọn arosinu ni alẹ.
  • Igbẹkẹle olutaja ẹyọkan ṣe alekun titiipa-inu ati awọn idiyele ijira.

Next awọn igbesẹ

  1. Ṣe ayẹwo awọn olupese nipa lilo awọn iṣẹ ṣiṣe tirẹ ati awọn ipilẹ data.
  2. Ṣe atunyẹwo asiri, aabo, ati awọn ofin ofin ṣaaju iṣọpọ.
  3. Ṣetọju eto ipadabọ kọja awọn awoṣe tabi awọn olutaja.
  4. Bojuto awọn akọsilẹ itusilẹ nitoribẹẹ awọn iyipada maapu oju-ọna ma ṣe iyalẹnu awọn ẹgbẹ.

Tesiwaju Ṣiṣawari

Ìwé ìròyìn ọfẹ

Gba ìkànìyàn AI ojoojúmọ́

Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.

Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.

Ṣe idanwo fun ara rẹ

Take the NVIDIA Cosmos World Foundation Models quiz

Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.

Bẹrẹ adanwo

Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan

Awọn ibeere ti a beere nigbagbogbo

Kini NVIDIA Cosmos World Foundation Models?

NVIDIA Cosmos is a platform of world foundation models, video tokenizers, and data tools for physical-AI development. Its models can generate or predict video used in workflows for robotics and autonomous-vehicle research. Generated scenes are synthetic model outputs; they do not guarantee physically correct behavior or replace validation in simulation and real environments.

Kini idi akọkọ ti NVIDIA Cosmos?

NVIDIA describes Cosmos as a platform of world foundation models and tools for physical-AI development, including synthetic video generation and prediction; generated scenes still require validation.

Kini tokenizer fidio ni Cosmos ṣe?

Awọn tokenizer compresses ga-o ga fidio sinu kan kekere ṣeto ti àmi, ṣiṣe awọn awoṣe din owo lati irin ati ki o ṣiṣẹ nigba ti toju be.

Iyatọ Cosmos wo ni idojukọ lori asọtẹlẹ awọn fireemu fidio iwaju?

Asọtẹlẹ Cosmos n kapa fidio ati asọtẹlẹ-fireemu iwaju; Gbigbe ṣe iyipada awọn igbewọle eleto si fidio, ati Idi mu oye ipo.

How can generated Cosmos video be used in autonomous-vehicle development?

Cosmos can generate or transform synthetic video for physical-AI workflows, but the outputs require validation and do not replace all real-world testing.

What license statement is safest for Cosmos models and code?

Cosmos releases include model weights and software components whose current terms should be verified for the specific artifact; open availability does not remove license conditions.