Intel® Edge Software Hub
Download prevalidated software to learn, develop, and test your solutions for the edge.
Fast-Track Your Development
Experiment, test, and create—all with less prework. Our software packages and offerings make it simple to optimize edge solutions, including computer vision and deep learning applications, for Intel® architecture.
Set your objectives and ramp up quickly. Choose your architecture type, and then select from Intel, third-party, or open source software. Use containers, run multiple workloads on a single converged edge system, and manage data flow between sensors and applications. Whether building from scratch or customizing a ready-made reference implementation, we offer helpful resources to accelerate your development.
Use Cases and Reference Implementations
Download a reference implementation that includes preconfigured software necessary to build a complete sample application. Select use cases to see real-world applications for the edge.
Edge Software Packages
Built specifically for edge use cases, these pretested and prevalidated packages include software from Intel, open source communities, and ecosystem partners. Packages optimized on Intel platforms ensure that you get high performance from your hardware.
Edge Insights for Vision
Deploy and optimize computer vision and deep learning workloads. Run multiple inference workloads on a single chip. Implement as a containerized architecture or stand-alone runtime.
Edge Insights for Industrial (EII)
Integrate video and time-series data analytics on edge compute nodes. Run concurrent workloads on ready-to-use containerized analytics pipelines. Support acceleration and distribution of video analytics on CPUs, GPUs, and VPUs.
Edge Controls for Industrial (ECI)
Accelerate the transformation of industrial control systems to software-defined solutions. This software reference platform with compatible hardware integrates real-time compute, standards-based connectivity, safety, virtualization, and IT-like management.
Edge Insights for Fleet (EIF)
Employ vehicle cameras to deliver near-real-time insight to drivers and fleet managers. Detect events and monitor driver behavior across multiple cameras through inferencing, video injection, and analytics services. Deploy edge-to-cloud communications using the cloud connector component.
Edge Insights for Autonomous Mobile Robots (EI for AMR)
Create, build, and deploy end-to-end robotic applications from robot to edge server to the cloud by using Edge Insights for Autonomous Mobile Robots. This open and modular toolkit based on ROS 2 includes all the required tools, middleware, and libraries to enable customers to rapidly deploy their robotic solutions across diverse use cases and various market segments.
Core Components of Edge Software
Intel® Edge Software Configurator (Intel® ESC)
Create, configure, and optimize container and virtual machine workload performance at the edge. Manage them more easily using a graphical interface as well as performance statistics visualization. You can deploy selected configuration profiles to multiple edge nodes, monitor performance over time, and fine-tune configurations with many iterations.
Intel® Distribution of OpenVINO™ Toolkit
Optimize the performance of deep learning inferencing at the edge. Extend AI and computer vision workloads across multiple types of Intel hardware, including CPUs, GPUs, and VPUs.
EdgeX Foundry*
Use this common framework for data and communications between devices and applications at the IoT edge. Monitor physical world items, send instructions to them, and collect data from them for aggregation, analysis, and action.
Intel® Smart Edge Open
Build solutions optimized for the edge with this software toolkit. Built on Kubernetes*, it offers a customized set of cloud-native functions designed to meet the resource constraint, performance, and autonomy needs of edge platforms.
Edge Hardware and Devices
View recommended hardware and devices optimized for these software packages.
Recommended Hardware
Intel provides a growing portfolio of hardware for the edge. This list of hardware and devices have been lab tested to deliver optimized power and performance with Intel software packages.
Hardware Qualification
Original device and equipment manufacturers (ODMs and OEMs) can learn how to include devices in our recommended hardware program for the Edge Software Hub.