Overview
Intel® AI Edge Systems offer a balance between computing and AI acceleration to deliver optimal TCO, scalability, and security. Through a hardened system foundation verified by Intel, Intel AI Edge systems enable our partners to jumpstart development and to increase trust in their system performance. Using Intel AI Edge systems enables the ability to add AI functionality into business applications for better business outcomes and streamlined implementation efforts.
To support the development of these Edge AI systems, the Intel AI Edge Systems initiative is offering:
- Roadmap, reference design and system sizing guide.
- Support services for architecture conversion, tuning and benchmarking.
- Verified Reference Blueprint and system verification.
- Use cases and application on-boarding.
- Partner endorsement and Go-To-Market.
Intel AI Edge Systems are a range of optimized commercial AI systems delivered and sold through OEM/ODM in the Intel ecosystem. They are verified commercial platforms configured, tuned, and benchmarked using Intel’s reference AI software application on Intel hardware to deliver optimal performance for Edge workloads.
For more information, connect with us https://builders.intel.com/contact-us or visit Solution Hub
Verified Reference Blueprints
Verified Reference Blueprints (VRB) enable AI Edge system configurations to tune and benchmark different AI Edge System types that support Edge use case. They include Hardware BOM and Foundation software configurations (OS, Firmware, Drivers), all tested and verified with supported software stack (software framework, libraries, orchestration management, reference use-cases).
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel® AI Edge systems are a range of optimized commercial AI systems that are delivered and sold through OEM/ODM in the Intel® ecosystem. They are...
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel® AI Edge Systems offers a balance between computing and AI acceleration to deliver optimal TCO, scalability, and security. AI systems enable...
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel® AI Edge Systems Verified Reference Blueprint— Scalable Performance Edge AI on Intel® 14th Generation Core with Intel® GPU for Computer...
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel® AI Edge Systems Verified Reference Blueprint provides numerous benefits to ensure end users have excellent performance for their AI Inference...
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel ® AI Edge Systems Verified Reference Blueprint is defined in collaboration with our ecosystem partners to demonstrate the value of the...
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel® AI Edge Systems Verified Reference Blueprint –Scalable Performance Edge AI on Intel® Xeon Scalable 2S for Computer Vision, and GEN AI is...
Intel® AI Edge Systems Verified Reference Bluepri...
Last Updated: 19 Mar 2025
Intel® AI Edge Systems offers a balance between computing and AI acceleration to deliver optimal TCO, scalability, and security. AI Edge systems...
Intel ® AI Edge Systems Verified Reference Bluepr...
Last Updated: 19 Mar 2025
Intel® AI Edge System Verified Reference Blueprint helps end users simplify design choices by bundling hardware and software pieces together while...
Intel® AI Edge Systems Portfolio
With Intel® AI Edge Systems, Edge AI Suites and Open Edge Platform software, and using a robust ecosystem of trusted partners, Intel is accelerating the opportunity to deploy additional AI applications. This ecosystem enables enterprises to address diverse industry-specific challenges and foster innovation in edge AI deployments. Read our news announcement here.
Intel AI Edge Systems initiative offers help to accelerate the ecosystem. Builders, such as original equipment manufacturers (OEMs) and original design manufacturers (ODMs), now have access to standardized blueprints, benchmarks, and verification tools optimized for edge AI use cases. These designs make it easy for customers and solution providers to confidently spec systems with sizing guides, allow for best-fit AI performance for key AI workloads and are available in a variety of power levels, sizes, and performance options.
The Intel AI Edge Systems sizing guide breakdown:
- Mainstream and Entry Edge AI offers a good balance between compute, inferencing, TCO and low power.
- Efficiency Optimized Edge AI enhances AI performance with integrated CPU, GPU and NPU, ideal for low power while maximizing the potential performance.
- Scalable Performance Edge AI delivers adaptable AI performance with a built-in AI accelerator and the option to add a discrete GPU of your choice, including Intel GPUs.
Edge AI Suites
Accelerate the design and development of your industry-specific AI solutions with Edge AI Suites.
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 case examples 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.
Transforming Factory Operations with AI
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 execution systems, tracking defect rates, identifying trends).
Automation: Correct problems almost immediately (instant alerts, implementation of corrective actions)
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
Optimize Video Resolution and Streams with AI
Leverage the Media & Entertainment AI Suite to enhance user experience, lower production costs, and increase return on investment by improving content resolution. These AI tools help optimize bandwidth for high-quality video streams with:
Improved User Experience: Open-source software with pre-trained AI models and pre-configured containers that are optimized for Intel hardware to deliver quality experience to users (high-quality video, expanded video catalog offerings).
Cost Savings: Easily integrated into pre-existing workflows, reduced video bit rate (lower transmission and storage costs).
Flexible Delivery: Enhanced streaming codec compatibility and flexible integrations with cloud and edge infrastructure and orchestration platforms for improved content delivery to target users.
