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

• UAV Vision Analytics

• system blueprint

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 system. To learn how to do it, refer to:

• How to get the installer for standard Ubuntu along with Intel packages

Optionally, to learn more about customizing and optimizing Operating System images, refer to:

• Image Composer Tool documentation - 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:

• Download the package

• Deploy the Handheld Multi-Modal application - User runs the multi-modal handheld app (speech + chat) on Intel XPUs.

UAV Vision Analytics:

• Download the package

• Deploy the UAV Vision Analytics - standalone

• Deploy the UAV Vision Analytics - SDK mode

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 (curated)- User replays workloads in VIPPET and inspects performance in Grafana.

• Edge Workloads and Benchmarks (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 - Infra developer uses agent skills to build OS image, curate packages and tune target system.

• Agent skills for DLStreamer - App developer scaffolds a working DL Streamer pipeline with agent assistance.