Accelerate post-training of end-to-end autonomous vehicle stacks with vector search and retrieval for large video datasets.
Build advanced AI agents for providers and patients using this developer example powered by NeMo Microservices, NVIDIA Nemotron, Riva ASR and TTS, and NVIDIA LLM NIM
H2O.ai Flood Intelligence provides real-time, scalable intelligence for AI-powered disaster management.
Sensor-captured radio enables real-time awareness, AI-driven analytics for actionable, searchable insights.
Build advanced AI agents within the biomedical domain using the AI-Q Blueprint and the BioNeMo Virtual Screening Blueprint
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
Streamline evaluation, monitoring, and optimization of AI data flywheel with Weights & Biases.
Orchestrate AI agents for data flywheel with MLRun and NVIDIA NeMo microservices.
Improve safety, security, and privacy of AI systems at build, deploy and run stages.
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
Create high quality images using Flux.1 in ComfyUI, guided by 3D.
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.
Route LLM requests to the best model for the task at hand.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
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.
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Trace and evaluate AI Agents with Weights & Biases.
Automate voice AI agents with NVIDIA NIM microservices and Pipecat.
Generate detailed, structured reports on any topic using LangGraph and Llama3.3 70B NIM.
Document your github repositories with AI Agents using CrewAI and Llama3.3 70B NIM.
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
Enhance and modify high-quality compositions using real-time rendering and generative AI output without affecting a hero product asset.
Create intelligent virtual assistants for customer service across every industry
Rapidly identify and mitigate container security vulnerabilities with generative AI.
This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.