At NeurIPS 2025, NVIDIA announced a new set of open models, datasets and tools spanning autonomous driving, speech AI and safety research, strengthening its position in open digital and physical AI development.
The company also received recognition from Artificial Analysis’ new Openness Index, which placed NVIDIA’s Nemotron family among the most transparent model ecosystems.
NVIDIA released DRIVE Alpamayo-R1, described by the company as “the world’s first open reasoning VLA model for autonomous driving.”
Bryan Catanzaro, NVIDIA’s vice president of applied deep learning research, said the model integrates chain-of-thought reasoning with path planning to support research on complex road scenarios and level-4 autonomy.
According to NVIDIA, AR1 breaks down scenes step by step, considers possible trajectories and uses contextual data to determine routes. A subset of its training data is available through NVIDIA’s Physical AI Open Datasets, and the model will be accessible on GitHub and Hugging Face.
Built on NVIDIA Cosmos Reason, AR1 can be customised for non-commercial research. NVIDIA said reinforcement learning was effective in post-training the model, improving its reasoning performance compared with the pretrained version. The company also released AlpaSim, an open framework for evaluating AR1.
Moreover, NVIDIA expanded the Cosmos ecosystem with new tools and workflows in the Cosmos Cookbook, offering step-by-step guidance for model post-training, synthetic data generation and evaluation.
New Cosmos-based systems include LidarGen, a world model for generating lidar data; Omniverse NuRec Fixer, for correcting artifacts in neural reconstructions; Cosmos Policy for turning video models into robot policies; and ProtoMotions3, a framework for training physically simulated digital humans and robots.
Industry partners, including Voxel51, 1X, Figure AI, Foretellix, Gatik, Oxa, PlusAI and X-Humanoid, are using Cosmos world foundation models. ETH Zurich researchers are presenting NeurIPS work showing how Cosmos models can generate cohesive 3D scenes.
In digital AI, NVIDIA introduced new models and datasets under the Nemotron and NeMo umbrellas. These include MultiTalker Parakeet, a speech recognition model for multi-speaker environments; Sortformer, a diarization model; and Nemotron Content Safety Reasoning, which the company said applies domain-specific safety rules using reasoning.
NVIDIA also opened the Nemotron Content Safety Audio Dataset, used for detecting unsafe audio content. Tools for synthetic data and reinforcement learning were also released, including NeMo Gym for RL environments and the NeMo Data Designer Library, now open-sourced under Apache 2.0.
CrowdStrike, Palantir and ServiceNow are among partners using Nemotron and NeMo tools for specialised agentic AI.
NVIDIA researchers are presenting more than 70 papers and sessions at NeurIPS.
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