Intel® DevCloud
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Learn, Build & Test with Computer Vision Solutions

| New! Edge node performance dashboards now featured in sample application Sample applications now feature dashboards of edge node performance metrics. Just select view dashboard after running inference on a target device within a Jupyter notebook.
| Benchmark app to estimate inference performance — A new tutorial demonstrates how to estimate the inference performance of your deep learning models on supported devices.
| Post-Optimization Toolkit — Quantize your model to INT8 and optimize performance by using the Post-Optimization Toolkit in the Object Detection Python Sample.
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OpenVINO Overview

Learn about the Intel® Distribution of OpenVINO™ Toolkit.

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DevCloud Overview

Learn more about the Intel® DevCloud environment.

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Roll up your sleeves with step-by-step instructions on using computer vision at the edge with these Jupyter* Notebook tutorials.

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Smart Video Workshop

Combine theory and practice of using computer vision in a workshop with slides and Jupyter* Notebook examples.

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Sample Applications

Test out real-world solutions on hosted Intel® hardware with these Jupyter* Notebook sample applications.

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Connect and Create

Create your own test application and try it on the Intel® DevCloud for the Edge hardware.

Intel AI: In Production

Ready to bring your AI at the edge solution into production? Get started with the Intel® AI: In Production partner program.

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Solution Briefs

Learn how customers are utilizing the Intel® DevCloud for the Edge to prototype and accelerate development of AI inferencing projects.