Speakers
Description
The LHCb collaboration relies on powerful GPU and CPU clusters for real-time data processing, but these resources can be idle outside data-taking periods. While the trigger CPU farm has already been used for offline processing, specifically for Monte Carlo production, no efforts have been made to repurpose these resources for physics analysis, including ML training and inference.
Through a collaboration between the CERN IT SWAN team and LHCb, we have adapted the LHCb trigger resources to be exploitable as Analysis Facilities, extending computational capacity for LHCb analysts and the SWAN service.
This presentation describes the preparation and execution of a one-year pilot project demonstrating the technical feasibility of this approach. In particular, it highlights how LHCb resources were integrated to extend SWAN’s Kubernetes cluster, providing users with a seamless and efficient analysis environment. The pilot serves as a prototype for a future production-ready Analysis Facility, paving the way for more flexible, scalable, and effective use of LHCb computing resources.