Longhorn provides distributed block storage that works well for stateful applications, but deployments often involve setting up complex networking, storage classes, and manual configuration for high availability. Managing upgrades or scaling can quickly become operationally heavy, especially when multiple AI or data teams need reliable persistent storage across workloads.

On Shakudo, Longhorn is not a separate component you have to wrangle. Instead, it is already integrated as part of the operating system for AI and data, so persistent block storage is automatically available to every AI tool and workflow you enable. The infrastructure orchestration is handled end-to-end, giving you resilient storage that “just works” without engineering overhead.

The shift is clear: instead of siloed storage setups handled per-cluster or team, you have Longhorn seamlessly wired into a platform where compute, data, and AI services can share it securely and consistently. That means scaling AI proofs-of-concept into production becomes faster, without the delays of managing storage lifecycles by hand.