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)
🚧🚧
🚧🚧
🚧🚧