# Source: https://developer.nvidia.com/industries/public-sector.md

1. [Industries](/industries/overview)
2. 
Public Sector

# Developer Resources for  
the Public Sector  

NVIDIA technologies for use cases across generative AI, cybersecurity, digital twins, and remote sensing.

Use Cases:

- 

Generative AI

- 

Cybersecurity

- 

Robotics and Autonomy

- 

Simulation and Training

- 

Remote Sensing

## Get Started With Public Sector Use Cases

Generative AI 

Cybersecurity

Robotics and Autonomy

Simulation and Training

Remote Sensing

**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.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/build-an-enterprise-rag-pipeline)

**Blueprint**

### Customized and Streamlined Public Service Delivery

Organizations are using AI-powered chatbots, virtual assistants, and digital humans to deliver personalized government information and support services to citizens. Automated digital workflows improve efficiency and provide more responsive, tailored engagement with constituents.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/ai-virtual-assistant-for-customer-service)

**Blueprint**

### Agentic AI Automation in Public Services  

Generative 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.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/aiq)

**Blueprint**

### Vulnerability Analysis for Container Security

Generative AI can improve vulnerability defense while decreasing the load on security teams. Using NVIDIA NIM™ microservices and the Morpheus cybersecurity AI SDK, the NIM Agent Blueprint accelerates CVE analysis at enterprise scale, reducing time to assess from days to just seconds.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/vulnerability-analysis-for-container-security)

**Blueprint**

### Safety for Agentic AI  

As the number of connected users and devices grows, organizations are producing more data than they can manage, increasing cybersecurity risks. Learn how to improve safety, security, and privacy of AI systems at build, deploy, and run stages.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/safety-for-agentic-ai)

**Training**

### Building AI-Based Cybersecurity Pipelines

In this course, you’ll learn to build Morpheus pipelines to process and perform AI-based inference on massive amounts of data for cybersecurity use cases in real time. Explore how to utilize several AI models with a variety of data input types for tasks like sensitive information detection, anomalous behavior profiling, and digital fingerprinting.

[Enroll in the DLI Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-DS-03+V1)

**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.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/isaac-gr00t-synthetic-manipulation)

**Blueprint**

### Test Multi-Robot Fleets for Industrial Automation

Humanoid robots are streamlining logistics and manufacturing by automating tasks like material transport, inventory management, and assembly. These robots deliver real-time data, adapt to changing environments, and improve safety and efficiency, while reducing costs and workforce strain.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/mega-multi-robot-fleets-for-industrial-automation/blueprintcard)

**Training**

### Synthetic Data Generation for Perception Model Training in Isaac Sim

In this course, you’ll learn how to train and deploy a perception model using synthetic data generation (SDG) for dynamic robotic tasks. Learn how to analyze the role of perception models, use simulation for SDG, apply domain randomization techniques, and evaluate the effectiveness of a trained model.

[Enroll in the DLI Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-30+V1)

**Blueprint**

### Build Digital Twins for AI Factory Design and Operations  

Virtual factory integration enables the development of OpenUSD-based tools and data pipelines to speed up operations and create new digital manufacturing opportunities. This includes layout planning, process simulation, robotics, and monitoring—all enhanced by AI for tasks like multi-camera tracking.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/digital-twins-for-ai-factories/blueprintcard)

**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.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/video-search-and-summarization)

**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.

[Enroll in the DLI Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-13+V1)

**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.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/earth2-weather-analytics)

**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.

[Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/digital-twins-for-fluid-simulation)

**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.

[Enroll in the DLI Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-ES-01+V1)

## Explore Tools and Technologies for Public Sector  

**NVIDIA NeMo**

### Build, Customize, and Deploy Generative AI Models

NVIDIA NeMo™ is an end-to-end platform for developing custom generative AI—including large language models (LLMs), vision language models (VLMs), retrieval models, video models, and speech AI—anywhere.

[Get Started With NeMo](https://www.nvidia.com/en-us/ai-data-science/products/nemo/)

**NVIDIA Morpheus**

### Identify Cybersecurity Threats in Near Real Time

NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data.

[Get Started With Morpheus](/morpheus-cybersecurity)

**NVIDIA Omniverse**

### Create Physically Accurate World-Scale Simulations

NVIDIA Omniverse™ is a modular development platform of SDKs, APIs, and microservices for building 3D applications and services powered by Universal Scene Description (OpenUSD) and NVIDIA RTX™.

[Get Started With Omniverse](/nvidia-omniverse-platform)

**NVIDIA Holoscan**

### Enhance High-Compute Applications

NVIDIA Holoscan is a domain-agnostic AI computing platform that delivers the accelerated, full-stack infrastructure required for scalable, software-defined, and real-time processing of streaming data running at the edge or in the cloud.

[Get Started With Holoscan](/holoscan-sdk)

**NVIDIA Isaac Sim**

### Accelerate AI Robotic Development

NVIDIA Isaac Sim™ is a reference application built on NVIDIA Omniverse that enables developers to simulate and test AI-driven robotics solutions in physically based virtual environments.

[Get Started With Isaac Sim](/isaac/sim)

**NVIDIA Metropolis**

### Build, Deploy, and Scale Vision AI Agents and Applications

NVIDIA Metropolis is an advanced collection of developer workflows and tools to build, deploy, and scale vision AI and generative AI from the edge to the cloud.

[Get Started With Metropolis](/metropolis)

## Browse by Resource Type

Sessions

Blogs

 ![img-alt-text](https://developer.download.nvidia.com/images/public-sector/llm-tech-blog-gtc24-nemo-retriever-1920x1080.jpg)

### Translate Your Enterprise Data Into Actionable Insights With NVIDIA NeMo Retriever

Learn how NVIDIA NeMo Retriever uses GPU-accelerated microservices for fast semantic search and retrieval-augmented generation, helping enterprises extract insights from complex, unstructured data.

[Read Blog](https://developer.nvidia.com/blog/translate-your-enterprise-data-into-actionable-insights-with-nvidia-nemo-retriever/)

 ![img-alt-text](https://developer.download.nvidia.com/images/public-sector/robot-arm-code-ros-sim-1920-1080.jpg)

### A Beginner’s Guide to Simulating and Testing Robots With ROS 2 and NVIDIA Isaac Sim

In this blog, learn how to simulate and validate a robot stack by leveraging ROS 2 packages with NVIDIA Isaac Sim, a reference application built on the NVIDIA Omniverse platform. Explore use cases that Isaac Sim can unlock for AI-enabled robots.

[Read Blog](https://developer.nvidia.com/blog/a-beginners-guide-to-simulating-and-testing-robots-with-ros-2-and-nvidia-isaac-sim/)

 ![img-alt-text](https://developer.download.nvidia.com/images/public-sector/synctwin-digital-twin-openusd-1920-1080.jpg)

### Transforming Microsoft XLS and PPT Files Into a Factory Digital Twin With OpenUSD

SyncTwin has developed an app on NVIDIA Omniverse that uses OpenUSD to enable its customers to create digital twins of their facilities using data from Microsoft PowerPoint, Excel, PDF, and other non-3D data formats. SyncTwin is integrating generative AI to enable customers to create and modify digital twins with simple text prompts.

[Read Blog](https://developer.nvidia.com/blog/transforming-microsoft-xls-and-ppt-files-into-a-factory-digital-twin-with-openusd/)

 ![img-alt-text](https://developer.download.nvidia.com/images/public-sector/metropolis-iva-mtmc-camera-calibration-blog-press-3397253-1920x1080.jpg)

### Real-Time Vision AI From Digital Twins to Cloud-Native Deployment With NVIDIA Metropolis Microservices and NVIDIA Isaac Sim

Read this technical blog to explore Metropolis microservices features, including cloud-native AI application development and deployment with NVIDIA Metropolis microservices, simulation and synthetic data generation with NVIDIA Isaac Sim, and more.

[Read Blog](https://developer.nvidia.com/blog/real-time-vision-ai-from-digital-twins-to-cloud-native-deployment-with-nvidia-metropolis-microservices-and-nvidia-isaac-sim/)

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