Deploy Models Now with NVIDIA NIM
Optimized inference for the world’s leading modelsFree serverless APIs for development
Self-Host on your GPU infrastructure
Continuous vulnerability fixes
Comprehensive reference workflows that accelerate automotive software development with NVIDIA acceleration libraries, APIs, NIM, and microservices.
Simulate, test, and optimize physical AI and robotic fleets at scale in industrial digital twins before real-world deployment.
This NVIDIA Omniverse™ Blueprint demonstrates how commercial software vendors can create interactive digital twins.
Enhance and modify high-quality compositions using real-time rendering and generative AI output without affecting a hero product asset.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Leverage AI models to improve embedded software for automotive applications, boosting efficiency and accelerating deployment.
End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.
Leverage advanced AI models to streamline automotive software development and optimize cloud deployment.
Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.
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.
Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.
Advanced LLM for reasoning, math, general knowledge, and function calling
Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.
State-of-the-art, high-efficiency LLM excelling in reasoning, math, and coding.
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
Leading content safety model for enhancing the safety and moderation capabilities of LLMs
Verify compatibility of OpenUSD assets with instant RTX render and rule-based validation.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Advanced state-of-the-art model with language understanding, superior reasoning, and text generation.
State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Multilingual text reranking model.
English text embedding model for question-answering retrieval.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
