⌘KCtrl+K
Interactive tutorials and example patterns to bootstrap AI development
Customizable reference workflows with best practices for enterprise performance and scale
Accelerate post-training of end-to-end autonomous vehicle stacks with vector search and retrieval for large video datasets.
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
Build a custom enterprise research assistant powered by state-of-the-art models that process and synthesize multimodal data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.
Generate exponentially large amounts of synthetic motion trajectories for robot manipulation from just a few human demonstrations.
Simulate, test, and optimize physical AI and robotic fleets at scale in industrial digital twins before real-world deployment.
Power fast, accurate semantic search across multimodal enterprise data with NVIDIA’s RAG Blueprint—built on NeMo Retriever and Nemotron models—to connect your agents to trusted, authoritative sources of knowledge.
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
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
This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.