Learn
Intel® DevCloud
Tutorials
Access tutorials to get you started with Intel® DevCloud, and get your deep-learning models and AI applications ready for deployment.
Sample Applications
Find sample applications for your specific market needs with examples of how to optimize, tune, and accelerate your applications.
Overview
Intel® DevCloud is a sandbox for prototyping and experimenting with AI inference workloads on Intel® hardware specialized for deep learning.
Optimize your deep-learning models with the tools built into the Intel® Distribution of OpenVINO™ toolkit, and then test their performance on combinations of CPUs, GPUs, and VPUs (Vision Processing Units) such as the Intel® Neural Compute Stick 2 (NCS2).
Even if you're new to machine learning, Intel DevCloud has everything you need to quickly get started, including:
- Jupyter* Notebook-based tutorials and sample applications
- Trained models
- Sample data
- Executable code from the Intel Distribution of OpenVINO toolkit
- Tools for tuning and optimizing your models
Training Videos
Container Playground
Learn how to build, import, and launch cloud-native container applications on a variety of target hardware for your prototyping and testing goals.
Run Workloads with JupyterLab
Learn how to use a bare metal sandbox environment to develop, prototype, and test workloads with JupyterLab.
Learn More about AI at the Edge
Intel® Distribution of OpenVINO™ Toolkit Guide
Optimize your machine-learning solutions for Intel® hardware.
Certification
Get the tools you need to build your solutions portfolio. Earn your certificate and validate your edge computing skills.