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.
Deploy industrial AI application for product quality checks using OpenNESS platform. Includes support for two types of defect detection.
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.
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.
Build edge applications for next-generation networks, including 5G. This package makes it easy to configure the OpenNESS toolkit for on-premises or network edge deployments. Create applications that run on your choice of cloud framework on networks managed by any service provider.
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.
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.
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.
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.
Edge Hardware and Devices
View recommended hardware and devices optimized for these software packages.
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.