Edge AI Suites
Accelerate the design and development of your industry-specific AI solutions with Edge AI Suites that offer reference implementations, code, and software components optimized for Intel® hardware.
Optimized AI Solutions Catered to Industry Needs
Edge AI Suites are a part of the Open Edge Platform and are comprised of vertical-market-specific sets of reference implementations, code and components, and benchmarking specifications and guides optimized to run on Intel®-based systems that can be leveraged for developing commercial-grade solutions.
Edge AI Suites provide developers and solutions builders with a starting point for taking advantage of Intel’s Edge and AI optimizations, giving end customers confidence in running AI workloads performantly on Intel-based platforms.
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Solve Your Customers’ Unique Business Challenges
Explore examples of solutions you can build with Edge AI Suites from Intel.
Accelerate Hardware Decisions for Retail AI Workloads at the Edge
The Retail AI Suite is an open-source software framework designed to accelerate AI workload evaluation and hardware selection for point-of-sale use cases at the edge. It helps retail solution builders assess device configurations across Intel® product generations to enhance decision-making and reduce the total cost of ownership. Key use cases include:
- Checkout/Self-Checkout: Product recognition (detection, classification, and tracking), full pipeline (product, weight, text, and barcode), age verification
- Loss Prevention: Fake scans, items in basket, multi-product identification, product switching, shopper behavior (obscuring/hiding an item), event video summation
- Order Accuracy: Order validation (product recognition), packing video summation
Learn More About Intel's Edge AI Solution
Scale Edge AI Solutions with Intel
System developers and builders can leverage the full-stack Intel’s Edge AI Portfolio or modular components to complement their system design. The Open Edge Platform offers an optimized, edge-native software stack that can be integrated with third-party software for solution development, deployment, and management of secure, scalable edge AI use cases.
Edge AI Ready Systems
Intel® AI Edge Systems provides configured, tuned, and benchmarked AI hardware to help accelerate your time to market for in-demand AI solutions. Combining AI Suites reference implementations and optimized Intel® AI Edge Systems can provide confidence in running AI workloads performantly and help reduce project risk and total cost of ownership.
Open Edge Platform
An Open source, Intel-driven, partner enabled, modular software stack, that brings the ecosystem together to help you build optimized edge AI solutions, and securely operationalize them with cloud-like capabilities.
AI Transforming Factory Operations
The Manufacturing AI Suite empowers smart factories with responsive, scalable edge AI. With an open ecosystem, seamless integration with new and existing systems, and strong data privacy controls, it accelerates AI deployment on the factory floor. Optimized for Intel, it delivers real-time insights, enabling more efficient operations and an agile factory. The Manufacturing AI Suite helps you develop solutions for:
- Production Workflow: Efficiency optimizations, product quality (detect anomalies, defects, or variations)
- Workplace Safety: AI-based safety insights to help reduce risks
- Real-Time Insights: Improve the production process (local data processing, integration with existing manufacturing executions systems, tracking defect rates, identifying trends)
- Automation: Correct problems almost immediately (instant alerts, implementation of corrective actions)
Learn More About Intel's Edge AI Solution
Scale Edge AI Solutions with Intel
System developers and builders can leverage the full-stack Intel’s Edge AI Portfolio or modular components to complement their system design. The Open Edge Platform offers an optimized, edge-native software stack that can be integrated with third-party software for solution development, deployment, and management of secure, scalable edge AI use cases.
Edge AI Ready Systems
Intel® AI Edge Systems provides configured, tuned, and benchmarked AI hardware to help accelerate your time to market for in-demand AI solutions. Combining AI Suites reference implementations and optimized Intel® AI Edge Systems can provide confidence in running AI workloads performantly and help reduce project risk and total cost of ownership.
Open Edge Platform
An Open source, Intel-driven, partner enabled, modular software stack, that brings the ecosystem together to help you build optimized edge AI solutions, and securely operationalize them with cloud-like capabilities.
Augment Smart City Operations with Cost-Efficient AI
Accurate counts are essential for various applications, including event venue and traffic analysis, building occupancy management, and public safety solutions. Metro AI Suite helps organizations build applications to meet their needs for such sophisticated safety, security, and smart city use cases that can offer:
- Rapid Solution Development: Reference software for GenAI and Visual AI use cases (advanced video search, video summarization, natural language search, live video analysis, live avatar interaction, intersection management, smart parking and smart tolling)
- Easy Platform Sizing and Hardware Evaluation: Benchmarks and flexible AI Edge System options to meet various performance, power, and form factor needs
- Cost-Efficient AI Performance: Modular, open and free libraries, tools, and microservices to maximize AI and video performance on Intel® AI Edge Systems (visual and deep learning optimization, media processing acceleration, edge server video analytics, ARM to Intel conversion, sensor fusion-enabled traffic management)
Learn More About Intel's Edge AI Solution
Scale Edge AI Solutions with Intel
System developers and builders can leverage the full-stack Intel’s Edge AI Portfolio or modular components to complement their system design. The Open Edge Platform offers an optimized, edge-native software stack that can be integrated with third-party software for solution development, deployment, and management of secure, scalable edge AI use cases.
Edge AI Ready Systems
Intel® AI Edge Systems provides configured, tuned, and benchmarked AI hardware to help accelerate your time to market for in-demand AI solutions. Combining AI Suites reference implementations and optimized Intel® AI Edge Systems can provide confidence in running AI workloads performantly and help reduce project risk and total cost of ownership.
Open Edge Platform
An Open source, Intel-driven, partner enabled, modular software stack, that brings the ecosystem together to help you build optimized edge AI solutions, and securely operationalize them with cloud-like capabilities.
Bring Physical AI-powered Robotics to Market Faster with an Open Ecosystem
Deploy scalable, cost-efficient robotics solutions for diverse industrial applications with the Robotics AI Suite, open standards, and Intel's long standing robotics expertise.
- Deliver next generation robotics solutions faster: Bring innovation to market sooner building on qualified AI systems with repeatable benchmarks to demonstrate performance on physical AI workloads.
- Optimize cost and performance: Achieve sufficient performance and real-time controls across CPU, GPU and NPU to simplify system designs and reduce bill of material costs without requiring a separate GPU.
- Flexible architecture for scalable growth: Near zero-touch remote management and hardware fine-tuning capabilities, ensure robotic applications run efficiently across distributed x86 edge deployments with real-time controls.
Learn More About Intel's Edge AI Solution
Scale Edge AI Solutions with Intel
System developers and builders can leverage the full-stack Intel’s Edge AI Portfolio or modular components to complement their system design. The Open Edge Platform offers an optimized, edge-native software stack that can be integrated with third-party software for solution development, deployment, and management of secure, scalable edge AI use cases.
Edge AI Ready Systems
Intel® AI Edge Systems provides configured, tuned, and benchmarked AI hardware to help accelerate your time to market for in-demand AI solutions. Combining AI Suites reference implementations and optimized Intel® AI Edge Systems can provide confidence in running AI workloads performantly and help reduce project risk and total cost of ownership.
Open Edge Platform
An Open source, Intel-driven, partner enabled, modular software stack, that brings the ecosystem together to help you build optimized edge AI solutions, and securely operationalize them with cloud-like capabilities.
Adapt AI capabilities on educational flat-panel displays with real-time performance and AI acceleration at an affordable TCO
Enable powerful Gen AI and multimodal AI pipelines on flat-panel displays with fast performance and concise accuracy to support education use cases.
- Enable AI-powered educational workloads for classroom flat-panel displays: Add audio-to-speech and powerful LLMs to synthesize classroom discussions into concise summaries on flat-panel displays.
- Evaluate Educational AI Workloads on Intel silicon: Balance performance and cost across CPU, GPU and NPU to simplify system designs and achieve better efficiencies at scale.
- Extend x86 architecture technology investments: Adapt API-first, design-ready capabilities on existing x86-based architecture to extend value and TCO
Enable multimodal AI patient monitoring workloads at the edge for real-time health insights at the point of care
Run concurrent, multi-parameter AI workloads to see how resource utilization, AI acceleration and real-time insights influence your application.
- Evaluate AI-powered patient monitoring workloads: Prove that multimodal AI can perform with low latency and scalable heterogeneous compute to remove uncertainty about designs before you commit to them.
- Accelerate edge-native development and validation cycles: Visualize and simulate how AI-ECG Arrhythmia signal processing, 3D visual tracking, and camera-based rPPG perform concurrently, to understand the tradeoffs early, without guessing.
- Build secure health monitoring systems on-device: Enable safe, privacy compliant multimodal AI that operates efficiently in clinical care environments without dedicated cloud connectivity.