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An AI-powered, multi-agent system designed to optimize warehouse operations through intelligent automation, real-time monitoring, and natural language interaction.
Distill and deploy domain-specific AI models from unstructured financial data to generate market signals efficiently—scaling your workflow with the NVIDIA Data Flywheel Blueprint for high-performance, cost-efficient experimentation.
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.
Transform your scene idea into ready-to-use 3D assets using Llama 3.1 8B, NV SANA, and Microsoft TRELLIS
Sensor-captured radio enables real-time awareness, AI-driven analytics for actionable, searchable insights.
Rapidly identify and mitigate container security vulnerabilities with generative AI.
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.
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
Improve safety, security, and privacy of AI systems at build, deploy and run stages.
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.
Create intelligent virtual assistants for customer service across every industry
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.
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
Orchestrate AI agents for data flywheel with MLRun and NVIDIA NeMo microservices.
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Create high quality images using Flux.1 in ComfyUI, guided by 3D.
Build advanced AI agents within the biomedical domain using the AI-Q Blueprint and the BioNeMo Virtual Screening Blueprint
Streamline evaluation, monitoring, and optimization of AI data flywheel with Weights & Biases.
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.
Generate exponentially large amounts of synthetic motion trajectories for robot manipulation from just a few human demonstrations.
Enhance and modify high-quality compositions using real-time rendering and generative AI output without affecting a hero product asset.
Generate detailed, structured reports on any topic using LangGraph and Llama3.3 70B NIM.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.
Automate voice AI agents with NVIDIA NIM microservices and Pipecat.
Document your github repositories with AI Agents using CrewAI and Llama3.3 70B NIM.
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Trace and evaluate AI Agents with Weights & Biases.