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What’s New?
Concepts
Marketplace (QuickStart)
Test Containers
Import Code and Build Containers
Develop Containers in JupyterLab
Enable Cloud Storage
Available Hardware
Frequently Asked Questions
Known Limitations
About containers, helm-charts and docker-compose
Notices and Disclaimers
Provide Feedback
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Select Hardware and Launch Containers
Access the Launch Option
Navigate to your Projects tab under the My Library view and use the rocketlaunch icon next to your project name to proceed to the selection of target hardware.
Configure Target Hardware
Select a target platform family and a processor from the list of platform configurations. You can also multi-select up to 3 processors and launch simultaneously.
Your active project can be monitored from the Dashboard view. The status of your project can be in Queued, Deploying, Running, Completed, Failed or Error states.
See the View status, output and performance section to further analyze your project.
NOTE:
If your program running inside the container is utilizing the GPU, and you target a processor that supports an integrated GPU the Intel® Developer Cloud for the Edge portal will auto-enable GPU access. No other code changes are required.
To dynamically benchmark your application without changing your code and rebuilding your container, you can optionally leverage the environment variables passed in runtime to switch between CPU or GPU before launching, see Configure imported containers.