Frequently Asked Questions
General
What’s provided when I sign-up for access?
Your account will have access for 120 days, with session time of 4 hours per login
Private registry that can hold up to 15 containers with a total storage limit of 20GB
Filesystem with a storage limit of 1GB expandable up to 5GB.
JupyterLab IDE with 2 vCPUs and 4GB RAM with each session lasting for 2 hours
Exclusive target platform access for testing containers for up to 30mins
Up to 8 projects can be created
What are some of the security restrictions we need to take care of?
Port range must be between 1024 and 65536
Privileged escalation is not supported
Host ports are not supported
What code editor is provided?
JupyterLab IDE with 2 vCPUs and 4GB RAM is available for viewing or editing your code, see Develop Containers in JupyterLab.
Does Container Playground retain any of my project data after testing containers on a target platform?
A cleanup procedure is performed after the launched project completes execution or is terminated, before another project can be launched.
Can I download the solutions in the Marketplace catalog page?
Yes, using the View/Edit Code option for sample applications. You can download some of our reference implementations after signing our licensing terms from Intel Software repo.
Test Containers
What are the various public and private registries supported?
Docker Hub, AWS, Azure and Quay.io public and private registries are supported.
What are the supported formats for container filesystem output results?
The following formats are supported for in browser preview .txt, .mp4, .jpeg, .gif, .png, .csv, and all file formats are available for download.
How many projects can be launched simultaneously?
A project can be launched on up to 3 target platforms simultaneously, and launching of multiple projects is also supported.
What is the retention policy?
The logs are available for 15 days and results in the filesystem can be accessed anytime till the account is active as long as the project is present in your dashboard. The container playground also provides a storage indicator, if you are running low on storage, you can free up space.
How long can I run my container applications?
Upon launching a project, the target hardware is allocated to your user account exclusively until the execution completes or a maximum time limit of 30mins.
What is the reason for my launched project to abruptly end?
Refer to the View status, output and performance section to learn how to interpret workload status.
How can I debug on the Container Playground?
Container logs, URL routes and terminal debugging is supported, refer to the View status, output and performance for more info.
How can I launch a project that utilizes the Intel® integrated GPUs?
Projects launched on target platforms that support an integrated GPU, have GPU access enabled by default.
Can containers communicate across target platforms?
Yes, see Configure imported containers for more info.
Why do I see the message “Telemetry not available” on some containers?
Your project was launched prior to the official performance feature release 2022.2.1, relaunch the project to see performance metrics.
Build Containers
How can we build Tensorflow, Pytorch, ONNX, Keras applications?
Dockerfile would be the best way to build above frameworks, see Build with dockerfiles.
How can I re-build sources?
Any build that is completed can be viewed in My Library > Resource. Use the actions to edit configuration and provide the latest branch details to start rebuilding.
What happens when my github token expires or changes?
You can add a new token whenever there is a change.
Cloud Connector
How can we switch to another AWS S3 bucket from the existing connection?
Disconnect the current connection by clicking on the Disconnect button and follow the steps mentioned in Enable Cloud Storage.
Where are the files/folder imported from AWS S3 saved?
Imported files/folders are saved under the /s3/<AWS S3 Bucket name>/ folder. You can view them in My Library > Filesystem.
What files imported from AWS S3 can be saved?
Any file that is allowed in AWS S3 can be saved.