Presenter: Elisabet Capon Garcia from Swiss Data Science Center
In this talk, we present Renku which stands for a trustworthy platform that enables collaboration and ensures reusability and repeatability of computational-based research projects. The objective is to raise awareness of the importance of project sustainability and lowering the entry barrier for reproducibility of AI and DS project by ensuring a smooth integration of data, code and compute infrastructure.
Listeners will get familiarised with the Renku platform, where they can create and share projects, and seamlessly connect them to their data sources and code repositories through a unified and user-friendly interface. Renku users do not need to handle the complexity to set-up the connections with their cloud providers because Renku handles this behind the scenes. Even more, the listeners will learn to set up different environments for their projects, from Python or R based development environments to Shiny or streamlit apps to showcase their results.
On the compute side, Renku offers a free tier with available compute resources to run sessions. If users require more compute resources than the free tier, they can either connect to their preferred cloud provider through Renku, connect to HPC clusters or contact us to provision further resources for them and their team.