The Data Science Stack (DSS) makes it seamless for everyone to jump into an ML Environment within minutes and be able to utilise their GPUs.

DSS is a ready-made environment which allows everyone to run ML workloads on the laptop. It gives easy access to a solution for developing and optimising ML models, that leverages the GPUs of the laptop by enabling users to utilise different ML environment images based on their needs.

The DSS is a stack that includes

• a container orchestration system (microK8s snap)
• out-of-the box containerized ML Environments
• an intuitive CLI which streamlines the management of those containers (data-science-stack snap)

The container orchestration system also handles the integration with the host's GPU and drivers, so the containerized environments can only focus on user-space libraries.

• Containerized environment management
• Seamless GPU utilization
• Out-of-the box ML Environments with JupyterLab
• Easy data passing between local machine and containerized ML Environments
• MLFlow for lineage tracking

• Ubuntu 22.04
• Snapcraft (included in Ubuntu)

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