NVIDIA

Open, efficient hybrid Mamba-Transformer MoE with 1M context, excelling in agentic reasoning, coding, planning, tool calling, and more.

Open, efficient hybrid Mamba-Transformer MoE with 1M context, excelling in agentic reasoning, coding, planning, tool calling, and more.

Open, efficient MoE model with 1M context, excelling in coding, reasoning, instruction following, tool calling, and more.

Nemotron 3 Nano Omni is an omni-modal reasoning model that understands images, video, speech, text.

Multilingual, multimodal model for detecting unsafe and toxic content.

Multilingual, multimodal model for detecting unsafe and toxic content.

A context-aware safety model that applies reasoning to enforce domain-specific policies.

Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs.

Nemotron 3 Voicechat — real-time voice conversation AI.

Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling.

High-efficiency LLM with hybrid Transformer-Mamba design, excelling in reasoning and agentic tasks.

Nemotron Nano 12B v2 VL enables multi-image and video understanding, along with visual Q&A and summarization capabilities.

High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.

High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.

Leading reasoning and agentic AI accuracy model for PC and edge.

Multi-modal vision-language model that understands text/img and creates informative responses.

Generates physics-aware videos from text prompts or an image prompt for physical AI development.

Vision language model that excels in understanding the physical world using structured reasoning on videos or images.

Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.

Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.

NVIDIA Synthetic Video Detector is an AI-powered micro-service for detecting AI-generated (synthetic) videos.

Detect and track speaker identities across video frames.

Open VLM for quantum computer calibration chart understanding across a range of qubit modalities.

GLiNER PII detects Personally Identifiable Information in text.

StreamPETR offers efficient 3D object detection for autonomous driving by propagating sparse object queries temporally.

End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.

Advanced transformer for multi-frame bird's-eye-view 3D perception in autonomous driving.

Translation model in 12 languages with few-shots example prompts capability.

Expressive and engaging text-to-speech, generated from a short audio sample.

Removes unwanted noises from audio improving speech intelligibility.

Enhance input speech recorded with low-quality microphones in noisy or reverberant environments, producing studio-quality speech.

Generates high-quality numerical embeddings from text inputs.

The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.

GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.