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Edge Computing

Jump-start your edge and 5G development with Intel's latest resources and tools. Make the best use of Intel® technologies with on-demand training and from Intel's developer community.
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Open Edge Platform

Seamless Cloud-to-Edge Technology

The Open Edge Platform enables enterprises to build, deploy, run, secure, and manage edge and AI solutions.
 

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Build with Tools that Work Better Together

Our tools work better together to help you build edge solutions across various markets. The close integration of the software components with Intel® architecture ensures your solutions are easily scalable and deployable.

USE CASE
AI-Enabled Computer Vision Checkout Framework

Accelerate development and deployment of AI-enabled computer vision solutions in retail with this framework, which includes reference implementations and core services.

Use these reference implementations to identify the hardware for your compute needs and run performance benchmarks:

Automated Self-Checkout Retail Reference Implementation

Enable object recognition of product stock-keeping unit (SKU) code at the self-checkout station.

Loss Prevention Retail Reference Implementation

This reference implementation recognizes SKU codes based on the object, text, and barcode, which you can use to validate the product to reduce the probability of theft at checkout.

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SOFTWARE SAMPLE
AI Connect for Scientific Data

AI Connect for Scientific Data (AiCSD) is an open source software sample that connects data from scientific instruments to applicable AI pipelines and runs workloads at the network edge.

With this software sample, you can automate AI capabilities for scientific data to deliver faster insights, connect machine learning models and pipelines from their training environment to the edge, and integrate AI pipelines into edge computing solutions.

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RESOURCE
Industrial Automation

Explore reference implementations, learn about the tools, and see the developer kits that enable vision capabilities for industrial automation.

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All Tools

Quickly deploy your AI and machine learning applications at the edge for various markets using Intel tools and libraries.

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Be Part of the Community

Join this expanding community of over three million developers who are driving innovation at the edge.

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Access webinars, videos, and courses that demonstrate the use of Intel technologies for edge solutions.

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174 Results
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There may be additional results restricted from public access; sign in or register to ensure you are seeing all content available to you.
Title
Content Type
Date
Image for: MRS Playbook - August 2025 Release
MRS Playbook - August 2025 Release
Content Type:Playbooks
Date:08/25/25
File: pdf (29.1 MB)
This self served playbook for Market Ready Solutions is designed to inform the field and Intel channel partners on the availability of each market ready solution
Image for: Edge AI Partner Enablement Package
Edge AI Partner Enablement Package
Content Type:Sales Tools
Date:08/14/25
File: pdf (5.02 MB)
The document provides an in-depth look at how the combination of artificial intelligence (AI) and edge computing delivers near-real-time value to businesses. It covers various topics including scalable AI computing platforms, AI software and services, and the deployment of AI everywhere using the OpenVINO toolkit. The content also explores the edge AI market, opportunities, business benefits, and use cases across different industries. Additionally, it highlights Intel's AI portfolio for edge AI, featuring Intel® Xeon® processors, Intel® Core Ultra processors, and Intel® Arc GPU. The document aims to help partners understand the benefits of partnering with Intel and leveraging its broad portfolio of AI-enabling technologies to create real-world solutions and differentiated business outcomes.
Image for: Intel® Industry Solution Builders Challenge for AI Edge Applications
Intel® Industry Solution Builders Challenge for AI Edge Applications
Content Type:Marketing Tools
Date:07/17/25
File: pdf (772 KB)
Flyer for the Intel® Industry Solution Builders Challenge for AI Edge Applications. Provides information on the process to participate, as well as benefits and incentives.
Image for: Build Linux* Kernel with Intel® Compilers
Build Linux* Kernel with Intel® Compilers
Content Type:Technical Articles
Date:07/09/25
File: URL
Use the latest Intel® oneAPI DPC++/C++ Compiler to build a Linux kernel. Take advantage of the latest Intel hardware features, compiler optimizations, and LLVM Clang capabilities.
Image for: Intel® Gaudi® 3 AI Accelerator 30-3-30 (.pdf)
Intel® Gaudi® 3 AI Accelerator 30-3-30 (.pdf)
Content Type:30-3-30s
Date:07/03/25
File: pdf (5.54 MB)
The Intel® Gaudi® 3 AI Accelerator is built for deep learning and large-scale eras. This deck contains insights into customer and market segment fit, price-performance and scalability narrative, product line details, and availability across partners for on-prem and cloud solutions.
Image for: The Rapidly Evolving Intel® Software Developer Ecosystem
The Rapidly Evolving Intel® Software Developer Ecosystem
Content Type:Technical Articles
Date:07/01/25
File: URL
Learn how Intel's software developer resources have evolved over the years, and how they prove useful for the key industry leaders and developer communities.
Image for: Browser Extension for RAG Applications with OpenVINO Toolkit
Browser Extension for RAG Applications with OpenVINO Toolkit
Content Type:Technical Articles
Date:07/01/25
File: URL
The article explains how to create a RAG based browser extension using OpenVINO to efficiently summarize the content from the web or pdf files.
Image for: Fast RNG with Sub-Stream Parallelization
Fast RNG with Sub-Stream Parallelization
Content Type:Technical Articles
Date:06/27/25
File: URL
Fast MRG32K3A Random Number Generator with New Sub-Stream Parallelization
Page
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Hardware for Any Use Case

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Boost your edge solution development with developer-ready hardware, which are prevalidated, certified systems with Intel architecture. With the tools for edge solutions from Intel, these developer kits deliver optimized performance for deep learning and inference.

 

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