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 Revolutionizes Implementation of Containers for HPC Workflows
FREMONT, CA – May 15, 2017 – Penguin Computing®, provider of high performance computing, enterprise data center and cloud solutions, today announced support for Singularity containers on its Penguin Computing On-Demand (PODTM) HPC Cloud and Scyld ClusterWare® HPC management software.
“Our researchers are excited about using Singularity on POD,” said Jon McNally, Chief HPC Architect at Arizona State University Research Computing. “Portability and the ability to reproduce an environment is key to peer reviewed research. Unlike other container technologies, Singularity allows them to run at speed and scale.”
Read more at Penguin Computing
Join Our Mailing List
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...