Get Started With Public Sector Use Cases
Blueprint
Autonomous Orchestration of Agentic Workflows
Federal agencies are automating the extraction and synthesis of insights from multimodal enterprise data to deliver real-time situational awareness and faster, more informed decision-making. Autonomous workflows enhance productivity with critical information advantages and reduce cognitive load.
Blueprint
Agentic AI Automation in Public Services
Agentic AI is being used to automate administrative tasks, summarize documents, and improve internal communications, accelerating decision-making and streamlining service delivery. AI tools enable agencies to personalize content and citizen interactions, resulting in more engaging and responsive public services.
Blueprint
Building Agentic AI Applications with LLMs
Federal agencies are deploying and optimizing AI agents for more efficient government operations. Learn how to design intelligent agents that can be adapted for arbitrary environments at scale. Utilizing frameworks like LangGraph and NVIDIA NIM, you'll build agents capable of deep thought, long-horizon reasoning, content management, and real-time operations.
Blueprint
Run Always-on Agents With Greater Control and Privacy
NVIDIA NemoClaw™ for OpenClaw is an open source reference stack that simplifies running always-on assistants with a single command. It installs the NVIDIA OpenShell™ runtime to add policy-based privacy and security guardrails, giving users more control over their agents' behavior and data handling.
Blueprint
Deploy an Adaptive Agent Experience
NemoClaw for Hermes Agents is an open source blueprint for running autonomous agents in enterprise environments. This blueprint helps teams deploy Hermes agents that work with approved tools and data sources, learn preferred workflows from real usage, and turn repeatable guidance into durable skills.
Blueprint
Building Real-Time Voice Agents
In this developer example, explore a comprehensive, end-to-end voice agent blueprint built with NVIDIA Nemotron state-of-the-art open models. It guides developers through the creation of a cascaded pipeline, integrating Nemotron automatic speech recognition, large language model, and text-to-speech, while solving for the complexities of streaming, interruptible conversations.
Blueprint
Synthetic Manipulation Motion Generation for Robotics
Autonomous vehicles and robotics are enhancing operations, improving safety, and increasing efficiency in complex and changing environments. By using simulation-driven development and edge AI processing, agencies can streamline logistics, manufacturing, and service delivery with minimal risk and greater adaptability.
Training
Scalable Multi-Robot Scene Workflows Using ROS Simulation Interfaces Standard in Isaac Sim
In this lab, you'll learn to orchestrate multi-robot collaboration, automate workflows, and execute autonomous navigation and object manipulation tasks in a test warehouse scenario using ROS 2, Simulation Interfaces, and Isaac Sim™.
Training
Synthetic Data Generation for Perception Model Training in Isaac Sim
In this module, we'll delve into the fundamentals of perception models, synthetic data generation, and how to apply these concepts to real-world robotic applications. Throughout this module, we'll take a hands-on approach to learning, guiding you through the process of designing a simulated environment, generating synthetic data, training an AI perception model, and integrating it into a robotic workflow.
Blueprint
NVIDIA Omniverse DSX Blueprint for AI Factory Digital Twins
The NVIDIA Omniverse™ DSX Blueprint is the digital twin manifestation of the DSX reference design, demonstrating to developers how to use Omniverse libraries for design, simulation, and operations across AI factory facilities and their hardware–software ecosystem.
Blueprint
Enhance Predictive Maintenance
Accelerated data processing and efficient ETL workflows enable predictive maintenance for faster, smarter decisions and lower costs. The optical inspection of public infrastructure is critical in accelerating time to insight and improving the assessment of maintenance needs.
Training
Extend Omniverse Kit Applications for Building Digital Twins
In this hands-on course, you'll learn how to develop OpenUSD-based digital twin applications on the Omniverse platform, focusing on data aggregation, interactivity, and physics simulation.
Blueprint
Visualization and Simulation of Geospatial Environments
GPU-accelerated pipelines in the cloud rapidly process massive satellite and sensor data, enabling faster, more informed decisions for geospatial intelligence. These advanced AI and computer vision workflows enhance visualization and simulation for digital twins, autonomous systems, sensor processing, and more.
Blueprint
Air Traffic Management Systems Accelerated Signal Processing
Accelerated radar and signal processing enables real-time analysis in air traffic management. These enhancing signal processing frameworks equip controllers with the timely, detailed insights needed to manage complex and ever-increasing traffic volumes.
Training
Disaster Risk Monitoring Using Satellite Imagery
Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.
