What shipped in AI.

Cosmos3-H-Dreams is a real-time, action-conditioned surgical world model for the CMR Surgical Versius robotic system. It is fine-tuned on CMR Surgical Versius clinical cholecystectomy data and distilled into a causal, few-step student for interactive, streaming video generation.

NVIDIA-Nemotron-Labs-Dory1.0-4B-MXFP8 is a looped (latent-recurrent) large language model (LLM) trained by NVIDIA. The model employs a normalized-GPT architecture with interleaved hybrid sliding window attention (SWA) and full attention layers.

NVFP4-quantized vision-language model for reasoning, coding, tool use, and document and video understanding, distilled from its BF16 version. The model card reports GPQA-Diamond and HLE scores close to the BF16 release.

Nemotron 3.5 Transcribe is an open-weight, offline speech and audio model for transcription in 40 languages, with support for recordings up to one hour and a 65,536-token context.

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB is a vision-language model (VLM) designed to run everyday agentic tasks locally, using a native 2-bit quantization to fit in 24GB of memory and run alongside other applications. It optimizes intelligence and speed per GB.

NV-Reason-CT is a vision language model for 3D chest and abdominal CT that generates structured reports with step-by-step reasoning and answers follow-up questions. It is an open research foundation for post-training, not a cleared clinical product.

Switchyard routes each request among the models you list in models, using a routing decision from NVIDIA's open-source Switchyard library running on OpenRouter's edge. Pass model: nvidia/switchyard plus two or...

Open-weight speaker diarization model that determines who spoke when. It supports streaming and offline inference for up to eight speakers, with input buffers as low as 80 ms.

Research checkpoints for causal image-to-video generation that produce videos autoregressively in chunks. Variants cover short and long clips plus camera control, built on Cosmos-Predict2.5 2B.

Base checkpoint of the Nemotron 3.5 Lightning family, without SFT, RL or distillation. It is a hybrid MoE model with 30B total and 3B active parameters, intended as a starting point for custom post-trained models.

▶ Hear it first. Natural turn-taking, barge-in and live tool calling.

Cosmos-H-Dreams is a real-time, action-conditioned generative surgical world model that lets a human operator or a learned surgical-robotics policy act inside a synthesized surgical scene and observe the interactions live.

NVIDIA-Ising-Calibration-1.5-31B-BF16 is a dense multimodal vision-language model built on Gemma 4 31B.

Generates a temporally coherent MP4 video from one or more input images and an optional text prompt, aimed at Physical AI uses such as robotics, autonomous driving and smart spaces. It is a 4-step distilled version of Cosmos3-Super-Image2Video.

Text-to-image model from NVIDIA, distilled to 4 sampling steps via DMD2 without classifier-free guidance. The modelcard reports up to 25x fewer diffusion evaluations per image than the 50-step base model with CFG.

Compact dense audio-text LLM for audio understanding, speech recognition and translation, text-to-speech and speech-to-speech generation, with thinking and instruct modes. Text abilities are said to stay close to its backbone.

A 4B-parameter NVIDIA world model that generates video, images, actions and text from text, image, video and action trajectory inputs, aimed at robotics, autonomous vehicles and smart spaces. The sources contain no benchmark results.

Turns document images into structured text with layout classes, bounding boxes and reading order. Aimed at OCR, table and chart extraction, and data preparation for RAG pipelines.

Nemotron-Labs-3-Puzzle-75B-A9B is a deployment-optimized large language model developed by NVIDIA, derived from Nemotron-3-Super-120B-A12B.

NVIDIA's powerful open-weights MoE model: hybrid LatentMoE + MTP layers, 1M context, 550B/55B active. Free on OpenRouter. Focus: complex multi-agent workflows, code, math, science.

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

ArtiFixer refines and extends renderings from imperfect 3D reconstructions with a few-step causal diffusion model. It is released for research and development only.

NVIDIA's small multimodal reasoning model: 30B MoE, only 3B active, text+image+audio input. Free on OpenRouter. Designed for on-device, 4x faster than its predecessor, reasoning ON/OFF mode.