# Federal And Aerospace AI Suite The suite is a comprehensive set of resources designed to accelerate the development and deployment of edge AI solutions across federal and aerospace domains, as well as demonstrate Intel's integrated AI acceleration and real-time performance on Intel® Core™ Ultra Series 3 and Intel® Core™ Series 2 processors in defense-focused use cases.  It aims at providing a foundation for evaluating, benchmarking, and validating from handheld systems to avionics, drones, urban air mobility, space, and ground station infrastructure. It currently offers: - [Handheld Multi-Modal application](./edge-ai-suites/ai-suite-federal-and-aerospace/handheld-multi-modal-application/index.md) - [UAV Vision Analytics](./edge-ai-suites/ai-suite-federal-and-aerospace/uav-vision-analytics/index.md) - [system blueprint](./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/index.md) The applications are optimized for AI inference on portable devices, focusing on SWaP-C compliance (Size, Weight, Power, and Cost). They also help meet certification, ruggedness, and interoperability requirements that are important for field hardware use.  ## How to use the Federal And Aerospace Suite ### 1. Install the Edge Node Infrastructure Blueprint The most efficient way to deploy the Handheld Multi-Modal app is to use the preconfigured [Edge Node Infrastructure Blueprint](./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/index.md) system. To learn how to do it, refer to: * [How to get the installer for standard Ubuntu along with Intel packages](./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/get-started.md) Optionally, to learn more about customizing and optimizing Operating System images, refer to: * [Image Composer Tool documentation](https://docs.openedgeplatform.intel.com/2026.2/image-composer-tool/index.html) - Infra developer composes a slim, Intel-tuned Ubuntu based image for the target use case. ### 2. Deploy the application Once your system is installed, you can deploy selected apps: [Handheld Multi-Modal app](./edge-ai-suites/ai-suite-federal-and-aerospace/handheld-multi-modal-application/index.md): * [Download the package](https://github.com/open-edge-platform/edge-ai-suites/releases/download/2026.2/handheld-multi-modal.zip 'zip archive') * [Deploy the Handheld Multi-Modal application](./edge-ai-suites/ai-suite-federal-and-aerospace/handheld-multi-modal-application/index.md) - User runs the multi-modal handheld app (speech + chat) on Intel XPUs. [UAV Vision Analytics](./edge-ai-suites/ai-suite-federal-and-aerospace/uav-vision-analytics/index.md): * [Download the package](https://github.com/open-edge-platform/edge-ai-suites/releases/download/2026.2/uav-vision-analytics.zip 'zip archive') * [Deploy the UAV Vision Analytics - standalone](./edge-ai-suites/ai-suite-federal-and-aerospace/uav-vision-analytics/get-started/get-started-standalone.md) * [Deploy the UAV Vision Analytics - SDK mode](./edge-ai-suites/ai-suite-federal-and-aerospace/uav-vision-analytics/get-started/get-started-uavsdk.md) ### 3. Run benchmarks To benchmark application performance, use either a curated or more comprehensive approach, with the following solutions, respectively: * [Visual Pipeline And Platform Evaluation Tool](./edge-ai-suites/ai-suite-federal-and-aerospace/handheld-multi-modal-application/index.md#visual-pipeline-and-platform-evaluation-tool) (**curated**)- User replays workloads in VIPPET and inspects performance in Grafana. * [Edge Workloads and Benchmarks](./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/how-to/run-edge-benchmarks.md) (**comprehensive**) - User gets a unified performance and power report across AI, vision, media and GenAI workloads. ### 4. Use AI agent to develop your solution * [Agent skills for Infrastructure blueprint](./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/agent-skills.md) - Infra developer uses agent skills to build OS image, curate packages and tune target system. * [Agent skills for DLStreamer](./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/how-to/use-dlstreamer-coding-agent.md) - App developer scaffolds a working DL Streamer pipeline with agent assistance. :::{toctree} :hidden: Edge-Node Infrastructure Blueprint <./edge-ai-suites/ai-suite-federal-and-aerospace/edge-node-infrastructure-blueprint/index.md> AI Playground <./edge-ai-suites/ai-suite-federal-and-aerospace/ai-playground.md> Handheld Multi-Modal Application <./edge-ai-suites/ai-suite-federal-and-aerospace/handheld-multi-modal-application/index.md> UAV Vision Analytics <./edge-ai-suites/ai-suite-federal-and-aerospace/uav-vision-analytics/index.md> Release notes <./edge-ai-suites/ai-suite-federal-and-aerospace/release-notes.md> ::: :::{toctree} :hidden: :caption: --------------- Intel® Edge System Qualification Get Help or Contribute :::