Now that we have readied the WSL2 environment with Singularity and the relevant CUDA libraries, it’s time to run the sample Keras workflow.
We’re pleased to announce SingularityCE 3.10.0 is now available at the link below. This release brings numerous improvements including greatly expanded support for cgroups / resource limits, and options for better OCI / Docker compatibility. It also contains some behind the scenes work starting the journey to SingularityCE 4.0 that you can read about in the roadmap.
Thanks as always to everyone who contributed code, testing, and general feedback. If you find a bug, let us know on GitHub… unless it’s a security issue, in which case, please contact us privately via firstname.lastname@example.org
Updated documentation for 3.10.0 is available at: https://sylabs.staging.sycloud.io/docs/
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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...