Now that we have readied the WSL2 environment with Singularity and the relevant CUDA libraries, it’s time to run the sample Keras workflow.
Singularity Containers Containers for HPC, analytics, machine learning, reproducible and trusted computing
Presented by David Godlove at MAGIC meeting on February 7, 2018
HPC COMPATIBLE SECURITY MODEL
• Base security assumption: Untrusted users running untrusted containers
• Limit user’s potential security contexts: We can not allow users to escalate to root, even
in containers that they control (and know the root password to)
• Allow user’s access to data they own: And limit access to data that they don’t own
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Signing the Container The Singularity 3.0 family introduced the ability to create (and manage) PGP keys to sign and verify containers. This provides a trusted method for Singularity users to share containers and ensures a bit-for-bit reproduction of the original...
Create an Account & Authentication Token Now that we have SingularityCE installed in WSL2, and NVIDIA GPU support is enabled, we will create a Singularity Container Services account and configure the local Singularity client, followed by building a remote...