Ceph’s distributed, fault-tolerant architecture provides seamless scalability for object, block, and file storage. On Shakudo, Ceph is automatically orchestrated, monitored, and integrated as a native component of the data infrastructure stack—without bespoke configs or manual deployments—allowing storage to scale with data workloads without additional DevOps investment.

Teams using Ceph in traditional setups often face long provisioning times, misaligned integrations across tools, and fragmented access control. On Shakudo, Ceph becomes part of a unified operating system where data pipelines, compute, identity, and storage operate cohesively. This eliminates toil, accelerates deployment cycles, and ensures cross-tool interoperability out of the box.

Shakudo drastically reduces time-to-value for Ceph-powered initiatives by transforming it from a complex technical implementation into a turnkey component aligned with the rest of your AI stack—from model training to data cataloging—managed seamlessly within your own infrastructure.