Data science stack (DSS) is a ready-to-run environment for machine learning and data science. It’s built on open-source tooling (including MicroK8s, JupyterLab and MLFlow) and is usable on any Ubuntu/Snap-enabled workstation.
DSS provides a CLI for managing containerised ML environment images such as PyTorch or TensorFlow, on top of MicroK8s.
Typically, creating ML environments on a workstation involves complex and hard-to-reverse configuration. DSS solves this problem by making accessible, production-ready, isolated and reproducible ML environments, that make full use of a workstation’s GPUs.
Both ML beginners and engineers who need to build complex development and runtime environments will see set-up time reduced to a minimum, allowing them to get on with useful work within minutes.
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Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
Snap is available for Red Hat Enterprise Linux (RHEL) 8 and RHEL 7, from the 7.6 release onward.
The packages for RHEL 7, RHEL 8, and RHEL 9 are in each distribution’s respective Extra Packages for Enterprise Linux (EPEL) repository. The instructions for adding this repository diverge slightly between RHEL 7, RHEL 8 and RHEL 9, which is why they’re listed separately below.
The EPEL repository can be added to RHEL 9 with the following command:
sudo dnf install https://dl.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm
sudo dnf upgrade
The EPEL repository can be added to RHEL 8 with the following command:
sudo dnf install https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm
sudo dnf upgrade
The EPEL repository can be added to RHEL 7 with the following command:
sudo rpm -ivh https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
Adding the optional and extras repositories is also recommended:
sudo subscription-manager repos --enable "rhel-*-optional-rpms" --enable "rhel-*-extras-rpms"
sudo yum update
Snap can now be installed as follows:
sudo yum install snapd
Once installed, the systemd unit that manages the main snap communication socket needs to be enabled:
sudo systemctl enable --now snapd.socket
To enable classic snap support, enter the following to create a symbolic link between /var/lib/snapd/snap and /snap:
sudo ln -s /var/lib/snapd/snap /snap
Either log out and back in again or restart your system to ensure snap’s paths are updated correctly.
To install Data science stack (DSS), simply use the following command:
sudo snap install data-science-stack
Browse and find snaps from the convenience of your desktop using the snap store snap.
Interested to find out more about snaps? Want to publish your own application? Visit snapcraft.io now.