Overview
Enabling Federal and Aerospace Edge AI applications with standardized benchmarks, automated infrastructure blueprints, and certified Intel reference hardware—from handheld soldier systems to avionics, drones, urban air mobility, space, and ground station infrastructure.
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Federal and Aerospace AI Suite 2026.1
This release previews handheld multimodal AI sample application and blueprints that combine spatial intelligence, multi-sensor fusion, and ruggedized mission-computing, using DL Streamer AI Coding Agent to rapidly compose low-jitter, real-time video analytics pipelines on heterogeneous Intel® Core™ Series 3 compute for mission-critical edge workloads.
Learn MoreIntel® Core™ Series 3 Processor for Federal and Aerospace AI Suite
Intel® Core™ Series 3 Processor deliver power-efficient, deterministic compute for mission-critical Federal and Aerospace deployments, pairing real-time AI with strict timing guarantees on a single platform. Integrated CPU, NPU, and GPU acceleration enables mixed-criticality consolidation so spatial intelligence, multi-sensor fusion, and DL Streamer AI Coding Agent–generated pipelines can run side by side with control and safety logic. This combination strengthens mission readiness and resilience at the edge by maintaining low jitter, predictable performance, and rapid recovery in rugged environments.
Learn MoreFederal & Aerospace AI Suite Benefits
Federal and Aerospace AI Suite provides a range of tools, components, and programs to help solution builders, from device manufacturers to software developers, through the end-to-end process of solution creation on Intel at the edge. This covers three stages:
Real‑Time AI for Contested and Disconnected Environments
Designed for deterministic performance where autonomous decisions must be made at the edge without cloud dependency and when communications are disrupted, degraded, intermittent, or low‑bandwidth.
SWaP‑Optimized Edge Compute
Power‑efficient AI across Intel CPU, GPU, and NPU to meet size, weight, power, cooling, and cost constraints.
Secure & Trusted Platform Foundation
Platform trust, integrity, crypto acceleration, and workload protection from boot through runtime.
Technology & Performance
The Federal & Aerospace AI Suite includes four integrated pillars that enable proven, repeatable performance and optimization on Intel edge processors.
AI Application Blueprint
Intel‑optimized reference applications, libraries, microservices, and tools for AI development.
Physical AI
Enable Physical AI with Scenescape by fusing multi-sensor inputs into a live 4D digital twin that models objects, movement, and environmental context over time supporting situational awareness, forecasting, and intelligent action in real-world environments.
AI Model Development
Create, train, and fine tune computer Vision AI models easily and quickly without technical expertise. Upload curated images and start annotating in a graphical user interface to teach the model which objects you want to recognize and Geti trains and optimizes models for precision and accuracy on Intel silicon.
ADBSCAN (Adaptive DBSCAN)
ADBSCAN (Adaptive DBSCAN) is a highly adaptive and scalable object detection and localization (clustering) algorithm, tested successfully to detect objects at all ranges for 2D Lidar, 3D Lidar, and Intel® RealSense™ Depth Camera.
Infrastructure Blueprint
Fully automated provisioning from BIOS and firmware through OS, platform libraries, and container runtimes and K3s for edge orchestration.
Benchmarks and Performance Optimization
Standardized AI and infrastructure benchmarks validating performance, power, and readiness.
Visual Pipeline and Platform Evaluation Tool
Analyze throughput, CPU usage, and GPU usage with an open-source tool that enables custom performance benchmarking and KPIs to validate AI inference pipelines to measure latency and resource utilization.
Intel® Core™ Ultra Processor Series 3 End-to-end AI and Video Pipeline Benchmarks
Measure performance gains of Intel® Core™ Ultra Processor Series 3 over previous generations. (CNDA required)
Competitive End-to-end AI and Video Analytics Pipeline Benchmarks
Compare performance differences between Intel® Core™ Processors and competitors’ solutions. (CNDA required)
Inference Optimization
Once the model is optimized for the given scenario, you should ensure an efficient way of running it. In Open Edge Platform, OpenVINO toolkit is the backbone.
Reference Hardware
Certified Intel platforms spanning handheld, embedded, VPX, SOSA‑aligned, and server form factors.
Verified AI Edge Systems
Intel partners with OEMs and ODMs to benchmark and verify hardware solutions optimized to meet heterogeneous computing requirements for IoT and AI-driven metro and public safety deployments to ensure optimized hardware and software integration across a range of power levels, sizes and performance options.
Insights and Resources
Learn more about how the Federal and Aerospace AI Suite can deliver optimal AI acceleration and real-time performance at the edge across many supported mission domains.
Explore facets of what’s available in the Federal and Aerospace AI Suite to get up and running quickly toward securely deploying and scaling AI at the edge.
Introduction – Build Vision AI Without Being an Expert | Geti™ | Intel Software
Build real‑world Vision AI with Geti™—without being an AI expert. From factory automation and clinical imaging to agriculture, retail, construction, and consumer apps, Geti™ helps domain experts turn visual data into working AI—fast.
Intel Vision Event Powered by Intel AI, Intel SceneScape (Demo) | Intel
See how Intel is utilizing our own AI to run Intel Vision 2024. Intel® SceneScape is a software platform that reaches beyond vision-based AI to realize spatial awareness from sensor data. Using 7 cameras.
Learn from Intel experts through tutorials that share practical guidance for working with solutions in real‑world scenarios.
Performance Optimization
Learn how to optimize AI system performance by using hardware‑aware software optimization techniques.
Migrate from Nvidia
Migrate existing AI workloads to Intel® platforms using practical guidance, compatibility considerations, and optimized software paths.
Application Security Enablement
Enable built-in security features to ensure data privacy with strong encryption protocols and blockchain. Learn how to safeguard infrastructure with advanced threat detection to mitigate vulnerabilities across distributed edge devices.
Developer Tools
Accelerate development with tools and tutorials to enable robot solutions with advanced Vision AI, spatial intelligence, and optimizations and transformers for AI model inference.
Build and optimize embodied intelligence models and workflows with tools to optimize performance on Intel.
Intel® OpenVINO Training Extensions
Libraries to accelerate PyTorch, ML, and LLM models for optimized performance and fine-tuning on Intel® hardware
Geti™ Computer Vision Models
Simplify and accelerate computer vision model training with an intuitive end-to-end seamless workflow. Optimize models for speed and fine grained precision to detect objects and key points for pose estimation.
Intel® oneAPI
A unified programming model that enables developers to write code that can be executed on a variety of hardware accelerators.
SceneScape
Create dynamic 4D digital twins of real-world environments using data from various sensors to inform situational awareness and robotic perception.
Geti™ Instant Learn
A new low-code tool for prompting foundation models with a few images or text to teach Vision AI to detect, classify, and annotate new objects in images or text, with real-time deployment and monitoring capabilities on Intel processors.
Anomalib Studio
Use anomaly detection models from Anomalib library to build your own quality assessment workflows to accelerate detection, inspection, and localization of anomalies within visual data.
Physical AI Studio
Unify perception, natural language understanding, and action within a single framework to leverage imitation learning to build physical AI for industrial, manufacturing, and robotics use cases.
Get advice for arranging heterogeneous computing, and models used for embodied intelligence with helpful tutorials
Heterogeneous Computing
Learn about the various software workloads integrated to enable autonomous systems to perform complex tasks in dynamic edge environments.
AI Model Tutorials
Discover deep learning models commonly used in embodied intelligence solutions and how to run them on Intel platforms complete with benchmarks and Jupyter notebooks.
OpenVINO™ Toolkit
Get started with the OpenVINO™ Toolkit to simplify the development of AI inference, computer vision, automatic speech recognition, and NLP on Intel® hardware.
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