Store your Helm charts in Singularity Container Services
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Containers are a method of isolating software so it runs in an environment that is separate from, and can be different to, the operating system of the computer you use. For example, BioHPC compute nodes and clients currently run Red Hat Enterprise Linux 7. You may want to try out the very latest version of tensorflow, but most install instructions concentrate on Ubuntu Linux. In fact, the tensorflow developers provide ready made packages for Ubuntu, and even a container with those packages pre-installed. Using containerization you can run Tensorflow in a Ubuntu container, on top of the BioHPC node’s Red Hat Linux.
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Discover an efficient solution to improve your workflow. Explore the benefits and get step-by-step guidance on implementation.
Optimize Your containerized OCI workflows with the latest Singularity Enterprise release. Dive into the enhancements today.
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