NVIDIA's synthetic supply: 780,000 trajectories in eleven hours, and an open simulated set of about 273,000
NVIDIA said on 18 March 2025 that it generated 780,000 synthetic trajectories in eleven hours for its humanoid foundation model, and publishes a simulated cross embodiment dataset of about 273,000 trajectories under Creative Commons Attribution 4.0. A company post on Hugging Face describes a separate physical AI dataset of more than 320,000 trajectories and 15 terabytes. Its June 2026 Cosmos release names five open datasets and gives no size for them.
The verdict
Verified
The document exists. The ledger fetched it at its publisher and quotes it.
Key facts
What the sources say
- Record ID
- EAD-2026-0034
- Kind
- Data supply
- Jurisdiction
- United States
- Last verified
- Added
- NVIDIA newsroom, 18 March 2025: 780,000 synthetic trajectories generated in eleven hours; the developer blog of the same day says over 750,000.
- Hugging Face dataset card, PhysicalAI Robotics GR00T X Embodiment Sim: about 273,000 simulated trajectories, license CC BY 4.0.
- Hugging Face blog post authored by NVIDIA: 15 terabytes representing more than 320,000 trajectories for robotics training, plus up to 1,000 OpenUSD assets.
- The Cosmos 3 developer blog of June 2026 names five open synthetic datasets and states no hours or trajectory counts.
Figures
Every number, with who measured it and when
- 780,000 trajectories
Synthetic trajectories generated in eleven hours, per the press release
NVIDIA newsroom, Isaac GR00T N1 release, primary source, as of .
- 273,000 trajectories
Simulated trajectories in the open GR00T cross embodiment set, approximately
NVIDIA, PhysicalAI Robotics GR00T X Embodiment Sim dataset card, Hugging Face, primary source, as of .
- 320,000 trajectories
Trajectories in the physical AI dataset described on Hugging Face, at least
NVIDIA, physical AI dataset post on the Hugging Face blog, primary source, as of .
What it changes
For a robot maker collecting or buying hours
Synthetic supply is the one kind that scales with compute rather than with floor space and robots, and it is licensed for commercial use. Whether it substitutes for recorded hours is the open question on this ledger, and the company's own claim is a 40 percent improvement when mixed with real data, not a replacement of it.
Sources
What this record was verified against
- NVIDIA newsroom, Isaac GR00T N1 releasePrimary · 18 March 2025
- NVIDIA, PhysicalAI Robotics GR00T X Embodiment Sim dataset card, Hugging FacePrimary · 13 September 2026
- NVIDIA, physical AI dataset post on the Hugging Face blogPrimary · 13 September 2026
- NVIDIA developer blog, Cosmos 3Primary · 30 June 2026
Related
Records that sit beside this one
Open question: do synthetic hours count? NVIDIA generated the equivalent of 6,500 human hours in eleven, and no standard says what an hour is
Global · verified 13 September 2026
NVIDIA newsroom, 18 March 2025: 780,000 synthetic trajectories, the equivalent of 6,500 hours or nine continuous months of human demonstration data, in eleven hours; a 40 percent improvement over real data alone.
Open X-Embodiment: over a million real robot trajectories from 22 embodiments, pooled from 60 datasets, under CC BY 4.0
Global · verified 13 September 2026
Project page: over one million real robot trajectories, 22 robot embodiments, 60 existing datasets from 34 robotic research labs.
DROID: 76,000 demonstration trajectories, 350 hours, one robot arm, under CC BY 4.0
United States · verified 13 September 2026
Project page: 76,000 demonstration trajectories or 350 hours of interaction data, 564 scenes, 86 tasks; the paper abstract gives 84 tasks.
No US export rule names robot training data; the AI diffusion rule that reached model weights is under rescission
United States · verified 13 September 2026
BIS, 13 May 2025: rescission of the Biden era artificial intelligence diffusion rule announced, with three guidance actions on advanced computing chips; no mention of datasets or robotics.
US state biometric laws: Washington excludes video recordings from the definition, Texas needs consent for face geometry, and the Illinois text could not be reached
United States · verified 13 September 2026
RCW 19.375.020(1): a person may not enrol a biometric identifier in a database for a commercial purpose without first providing notice, obtaining consent, and providing a mechanism to prevent later use.
A Senate bill, not a law: the Humanoid ROBOT Act of 2025 would order a report on data of US persons obtained through humanoid robots
United States · verified 13 September 2026
S.3275, introduced 20 November 2025: procurement restrictions, CFIUS review, and a report that must cover privacy and data security threats relating to the use of data of United States persons obtained through humanoid robots.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID EAD-2026-0034 is permanent and is never reused.
- In a sentence
- According to the GAGE Embodied AI Data Ledger (as of 13 September 2026), nvidia's synthetic supply: 780,000 trajectories in eleven hours, and an open simulated set of about 273,000.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). NVIDIA's synthetic supply: 780,000 trajectories in eleven hours, and an open simulated set of about 273,000. Embodied AI Data Ledger. Retrieved 13 September 2026, from https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0034-nvidia-synthetic-trajectories-gr00t
- MLA
- "NVIDIA's synthetic supply: 780,000 trajectories in eleven hours, and an open simulated set of about 273,000." Embodied AI Data Ledger, GAGE (Global Academy of Generative-AI Education), 13 September 2026, https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0034-nvidia-synthetic-trajectories-gr00t.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "NVIDIA's synthetic supply: 780,000 trajectories in eleven hours, and an open simulated set of about 273,000." Embodied AI Data Ledger. Last modified 13 September 2026. https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0034-nvidia-synthetic-trajectories-gr00t.
- Permalink
- https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0034-nvidia-synthetic-trajectories-gr00t
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