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Intel® DevCloud for Edge Workloads has two primary pathways designed to help you evaluate, experiment with, and prototype AI and Edge solutions on Intel® hardware for free.
Follow tutorials to interactively learn to create, tailor, and benchmark computer vision and edge AI applications optimized for Intel hardware.
Explore sample applications for illustrations of market-specific solutions and methods for optimizing, tuning, and accelerating applications at the edge.
Quickly get started with the following resources in the edge development sandbox:
Launch and experiment with containerized workloads on a wide range of Intel hardware in the Container Playground, a Kubernetes* environment.
Learn how to build, import, and launch cloud-native container applications on a variety of target hardware for your prototyping and testing goals.
Get Started with the Container Playground for Intel DevCloud
Evaluate Containers on the Latest Intel Hardware
Build Containers from Application Source Code
Explore Market Vertical Solutions and Sample Applications
Learn how to use a bare metal sandbox environment to develop, prototype, and test workloads with JupyterLab.
Prototype and Benchmark with JupyterLab* on Bare Metal Infrastructure
Hardware for Edge Workloads
Introduction to Intel DevCloud
Optimize your machine-learning solutions for Intel hardware.
Advance your career and get recognized for your new, marketable skills with Intel® Edge AI Certification.