Organization
NVIDIA
NVIDIA is a chip designer and AI model developer headquartered in Santa Clara, California3. This catalog lists 13 open model releases, 7 software projects, and 1 dataset from NVIDIA, under licenses including the Apache License 2.0 and the OpenMDW License Agreement, version 1.1.
Documented roles: Chip designer · Model developer · Developer platform
NVIDIA designs accelerated computing platforms, including data center GPUs, networking, and complete systems, along with software such as CUDA for building and running AI workloads. Its annual report describes two segments, Compute & Networking and Graphics.2
Using this organization’s offerings
Intended users
NVIDIA presents Nemotron to developers building specialized and multi-agent AI applications, and NIM to developers and enterprises deploying prebuilt inference microservices.1112
Hosted and self-hosted access
Nemotron models are published on Hugging Face and offered as hosted endpoints on build.nvidia.com, and NVIDIA has released some Nemotron training datasets and recipes. NIM can be tried free through the NVIDIA Developer Program and self-hosted on a user's own infrastructure.11131412
Restrictions and review limits
Model licenses differ by release: the Nemotron 3 Super card names the NVIDIA Nemotron Open Model License, while the Nemotron 3.5 Lightning card names OpenMDW-1.1. Production use of self-hosted NIM requires an NVIDIA AI Enterprise license. This profile is not a complete product or rights audit.151612
Documentation and pricing
Key facts
- Legal name
- NVIDIA Corporation2
- Ownership (separate from openness)
- Publicly traded
Recorded classification; fact-level ownership verification pending.
- Legal form
- Delaware corporation (incorporated in California in 1993 and reincorporated in Delaware in 1998)23
- Headquarters
- Santa Clara, California3
- Founded
- 19932
- Sectors
- Chips, Open models
What is and isn’t public
Products
No hosted model products are recorded for this organization.
Other products
| Product | Kind | Documented delivery and access | Reviewed |
|---|---|---|---|
| NVIDIA Vera Rubin platform (external site: nvidia.com) | Hardware | Rack-scale data center platform combining Rubin GPUs, Vera CPUs, networking, and the Groq 3 LPX inference accelerator; delivered as complete systems through server manufacturers and supply-chain partners, including the DGX Vera Rubin NVL72.4 | Sep 29, 2026 |
| NVIDIA DGX platform (external site: nvidia.com) | Hardware | DGX systems, SuperPOD and BasePOD reference architectures, and DGX Cloud with NVIDIA AI Enterprise software; offered for on-premises deployment, colocation, managed service providers, and private cloud arrangements.5 | Sep 29, 2026 |
| NVIDIA NIM (external site: nvidia.com) | Developer tool | Prebuilt inference microservices shipped as containers for self-hosting models on NVIDIA GPUs, with hosted API endpoints on build.nvidia.com for prototyping; production use is licensed through NVIDIA AI Enterprise.6 | Sep 29, 2026 |
| NVIDIA CUDA Toolkit (external site: developer.nvidia.com) | Developer tool | Free downloadable development environment with a compiler, GPU-accelerated libraries, and debugging and optimization tools for building GPU-accelerated applications.7 | Sep 29, 2026 |
Cataloged artifacts
Model families
- Evo 2Model family
- NVIDIA CosmosModel family
- NVIDIA Isaac GR00T NModel family
- NVIDIA NemotronModel family
- NVIDIA ParakeetModel family
- StarCoder2Model family
Model releases
- Evo 2 20BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- Evo 2 40BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Cosmos3-NanoModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Cosmos3-SuperModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Isaac GR00T N1.7 3BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Nemotron 3 Super 120B-A12BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Nemotron 3 Ultra 550B-A55BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Nemotron 3.5 Lightning 30B-A3BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Nemotron 3.5 Super VL 120B-A12BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Nemotron Labs Dory1.0-4BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA parakeet-tdt-0.6b-v3Model releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA parakeet-unified-en-0.6bModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- StarCoder2-15BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
Frameworks
- NVIDIA cuOptSoftwareAvailability: Public
- NVIDIA Isaac LabSoftwareAvailability: Public
- NVIDIA NeMo FrameworkSoftwareAvailability: Public
Runtimes
- llm-dSoftwareAvailability: Public
- NVIDIA DynamoSoftwareAvailability: Public
- TensorRT-LLMSoftwareAvailability: Public
Research stacks
- Megatron-LM and Megatron CoreSoftwareAvailability: Public
Datasets
- Nemotron-CCDatasetAvailability: Partial
Notable documented facts
- In fiscal year 2026 NVIDIA entered into a non-exclusive intellectual property license arrangement with Groq, Inc. NVIDIA's Groq 3 LPX inference accelerator, announced as in full production in August 2026, uses Groq technology under that license.238
- NVIDIA publishes the Nemotron family of models on Hugging Face and, for several releases, training datasets and training recipes.9
In the news
NVIDIA releases Cosmos3-H-Embodied-Nano and Cosmos3-H-Dreams surgical robotics world models
NVIDIA published two surgical robotics models on Hugging Face whose model cards give a release date of October 20, 2026, both under the NVIDIA Open Model License Agreement. The Cosmos3-H-Embodied-Nano card describes Cosmos3-Nano post-trained on the Open-H-Embodiment surgical robotics data jointly for forward dynamics, inverse dynamics and policy, so one checkpoint can predict robot actions and endoscopic video. The Cosmos3-H-Dreams card describes a real-time, action-conditioned surgical world model for the CMR Surgical Versius system, built on Cosmos3-H-Embodied-Nano and distilled into a few-step autoregressive student that generates endoscopic video from a camera frame and robot commands. Both cards say the Cosmos3-Nano architecture they inherit includes a Qwen3-VL-8B reasoning tower, and the cards describe intended uses in simulation, policy evaluation and synthetic data generation before use on a physical system. USASI has not tested these models.
NVIDIA's Isaac Lab 3.0 is generally available with Newton and standalone OV library backends
The Isaac Lab project published v3.0.0 on GitHub on October 20, 2026, and the release notes say Isaac Lab 3.0 is now generally available and is the recommended baseline for new projects and for migrations from Isaac Lab 2.x. The notes describe one task API across multiple physics, rendering and visualization backends, including Newton, a Warp-native physics backend with MuJoCo-Warp, VBD and MPM solver paths, and OV libraries that provide OVPhysX for PhysX and OVRTX for RTX rendering as standalone libraries. They say Isaac Sim remains available for workflows that need the full PhysX/RTX stack, ROS bridge, XR, livestreaming or Kit tooling, but is now fully optional. The release targets Isaac Sim 6.2, Python 3.12 and PyTorch 2.11 with CUDA 13.0. USASI has not tested this release.
llm-d 1.0 released with flow control, router high availability and a v1 configuration API
On October 20, 2026 llm-d project contributors announced llm-d 1.0, a release of the open distributed inference project that an IBM newsroom announcement says was founded in 2025 by Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA and is now governed by the Cloud Native Computing Foundation (CNCF). The v1.0.0 release notes on GitHub list priority- and fairness-aware flow control with controlled load shedding, router high availability with hot standby and safe rolling updates, and the router configuration API graduating to
v1. The notes also say the disaggregated prefill-decode guide now requires LeaderWorkerSet v0.11.1 or newer. The announcement says Google Cloud is integrating llm-d 1.0 into Google Kubernetes Engine; it does not give a date for the CNCF governance change. USASI has not tested this release.NVIDIA releases Nemotron Labs Dory1.0-4B, a looped language model, under OpenMDW-1.1
NVIDIA published NVIDIA-Nemotron-Labs-Dory1.0-4B on Hugging Face with a model card that gives a release date of October 16, 2026 and the OpenMDW License Agreement, version 1.1 as its license. The card describes a 4B-parameter looped (latent-recurrent) language model that applies a shared block of layers repeatedly, so that a single checkpoint can serve different inference compute budgets by changing the loop count. It says the model was pre-trained natively in NVFP4 before continuing in BF16, supports up to 256K tokens of context, lists English as the supported language, and is available in BF16, MXFP8, NVFP4, and Q5_K_M formats. USASI has not tested this model.
NVIDIA releases Nemotron 3.5 Super VL and Nemotron 3.5 Bolt 74B-A9B open models under OpenMDW-1.1
On October 15, 2026 NVIDIA released Nemotron 3.5 Super VL and Nemotron 3.5 Bolt 74B-A9B 24GB, and said a third model, Nemotron 3.5 Bolt E4B 4GB, is coming October 23. The Super VL model card lists 120B total and 12B active parameters, a context length of up to 1M tokens, and text, image, and video input with text output. The Bolt 74B-A9B 24GB model card describes a vision-language model with 74B total and 9B active parameters that uses a native 2-bit quantization to fit in 24GB of memory, with a context length of up to 256K tokens. Both model cards give a Hugging Face release date of October 15, 2026 and name the OpenMDW License Agreement, version 1.1 as the governing license. USASI has not tested these models.
What this catalog does not know
- Official careers page: not verified by this catalog.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
NVIDIA Corporation is a Delaware corporation with principal executive offices in Santa Clara, California, per the cover page of its Form 10-Q for the quarter ended July 26, 2026.3
Sources
This listing is not an endorsement or a federal approval.
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APA style
USASI. (2026, October 16). NVIDIA. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/nvidia/
BibTeX
@misc{usasi_nvidia,
author = {{USASI}},
title = {NVIDIA},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/nvidia/}},
note = {United States of America Superintelligence. Last updated 2026-10-16}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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