Comprehensive reference workflows that accelerate application development and deployment, featuring NVIDIA acceleration libraries, APIs, and microservices for AI agents, digital twins, and more.
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
Simulate, test, and optimize physical AI and robotic fleets at scale in industrial digital twins before real-world deployment.
Generate exponentially large amounts of synthetic motion trajectories for robot manipulation from just a few human demonstrations.
This NVIDIA Omniverse™ Blueprint demonstrates how commercial software vendors can create interactive digital twins.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Operations research and prediction algorithms to predict plausible real life outcomes.
FourCastNet predicts global atmospheric dynamics of various weather / climate variables.
Verify compatibility of OpenUSD assets with instant RTX render and rule-based validation.
Generalist model to generate future world state as videos from text and image prompts to create synthetic training data for robots and autonomous vehicles.
Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.
Leverage retrieval-augmented generation to ground large language models in your proprietary data.
GPU-accelerated generation of text embeddings used for question-answering retrieval.
Optimized community model for text embedding.
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Powers complex conversations with superior contextual understanding, reasoning and text generation.
