nvidia_map.txt

# NVidia

* <developer.nvidia.com>
* <docs.nvidia.com>
* <news.developer.nvidia.com>
* <devblogs.nvidia.com>


[[{]]
## NVIDIA Releases Open Models, Datasets, and Tools across AI, Robotics, and Autonomous Driving

NVIDIA has released a set of open models, datasets, and development tools
covering language, agentic systems, robotics, autonomous driving, and
biomedical research. [[data.source]]

- Nemotron Speech includes automatic speech recognition models optimized for
  low-latency, real-time use cases.  [[use_case.speech_to_text]]
- Nemotron RAG introduces embedding and reranking vision-language models intended
  for multimodal document search and retrieval pipelines. [[architecture.rag]]

- Nemotron Safety adds updated models for content filtering and detection
  of sensitive or personally identifiable information.  [[security.privacy]]

- NVIDIA also released datasets and training code used for selected Nemotron models,
  including embedding models evaluated on public benchmarks.

- For robotics and physical AI, NVIDIA introduced new Cosmos world foundation
  models, supporting perception, reasoning, and synthetic data generation in
  real-world environments. [[use_case.robotics]]
  - Cosmos Reason 2 is a multimodal reasoning model designed to enhance scene
    understanding for agents operating in physical environments.
  - Built on top of Cosmos, NVIDIA released Isaac GR00T N1.6, an open 
    vision-language-action model for humanoid robots that supports full-body 
    control and integrates visual perception with action planning.

- Cosmos Transfer 2.5 and Cosmos Predict 2.5 focus on generating synthetic 
  video data across varied environments and conditions, supporting
  simulation and data augmentation workflows. [[use_case.video_production]]

- Alpamayo, new open model family for reasoning-based autonomous driving.
  combining perception, planning, and explainability in a
  vision-language-action architecture and is paired with simulation tools
  and large-scale driving datasets.  [[use_case.autonomous_driving,qa.interpretability]]
  - AlpaSim: an OOSS simulation framework for closed-loop evaluation of
    autonomous vehicle models.
  - Wu noted nvolved extensive road testing, continuous large-scale simulation
    using platforms such as Cosmos, and close collaboration with automotive 
    partners, including Mercedes-Benz, with initial deployments planned for
    upcoming production vehicles.

- NVIDIA Clara models: healthcare and life sciences updates 
  [[use_case.biotechnology,use_case.healthcare]]
  - La-Proteina for atom-level protein design. 
  - ReaSyn v2 for synthesis-aware drug design.
  - KERMT for early-stage safety and interaction prediction.
  - and RNAPro for RNA structure modeling.
  - NVIDIA also published a dataset of 455,000 synthetic protein structures
    to support training and evaluation in this domain. [[data.source]]
[[}]]