# Ceph Scaling Strategies for Machine Learning Workloads

- Institution: CERN
- Speaker: Radomir Michal Wasowski
- Year: 2026
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3021029)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Ceph is a software-defined solution designed to manage large-scale data stores. It ensures high availability and concurrent access while providing a POSIX-compliant file system (CephFS), making it an attractive option for serving distributed machine learning workflows. This project focuses on optimising CephFS resource usage to improve overall storage performance and reduce the bottleneck of data access in such use-cases. We will present our testbed and benchmarks of various CephFS configurations to examine possible optimizations from cluster-administrator and user perspectives.

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## Lectures

1. [Ceph Scaling Strategies for Machine Learning Workloads](https://invisiblenetwork.ai/learn/cern/3021029/e21cf5ea8c88), 22 min (CERN's player)