Where offerings are the layers you assemble, solutions are the answers we have already assembled. Proven configurations you can deploy off the shelf: turnkey systems, development sandboxes, and Navon Edge.
Pre-engineered compute clusters that arrive integrated, tested and ready for workloads. A research rack for a university lab, a frontier training cluster, a lowest-cost inference fleet. We size the build to the job, ship it on the same serving stack as the private cloud, and hand over something that runs from day one rather than a box of parts to integrate.
Turnkey systems are the packaged form of our server systems offering: the same silicon and fabric, pre-configured into a deployable cluster with a fixed lead time and a known envelope.
A single 20 kW rack pre-built for university and lab work: three CPU nodes, two 8-GPU training nodes, and a half-petabyte NAS, with rack units left free to grow into.
Five 20 kW racks built around 8-GPU training systems on a flat 400G fabric, pre-integrated with the same serving stack as the private cloud. Latest or prior-generation silicon.
Inference-optimised racks tuned for the lowest cost per token, ready to host private models behind an OpenAI-compatible endpoint on dedicated, in-country silicon.
Isolated, ready-to-use environments that give developers, startups, and research teams immediate access to Navon compute, including CPU, pooled GPU, and sandboxed partner quantum hardware, without standing up their own data centre. Each sandbox is namespaced, quota-bounded, and reproducible: a clean room for prototyping AI workloads that can graduate to production on the same stack, in the same jurisdiction, with nothing to re-platform.
Every sandbox ships with managed compute, the Navon SDKs and low-code workflows, and the same PQC-encrypted storage as production, so the path from prototype to live workload is a quota change rather than a migration.
Spin up notebooks, containers, and training jobs against quota-bounded CPU and multi-tenant GPU pools, with sandboxed access to partner quantum hardware for early experimentation.
Each tenant gets a hard-walled namespace with its own keys, budgets, and snapshots, so teams can experiment freely without touching neighbours, production, or anyone else's data.
What you build in a sandbox runs unchanged on Navon's private cloud, with the same SDKs, the same APIs, and the same data residency. Graduating a workload is a quota and policy change rather than a rebuild.
Navon Edge turns the cameras and sensors a business already owns into on-site intelligence, detecting and acting on theft, intrusion, equipment failure and footfall in real time, with no cloud round-trip. Heavier AI runs back at the Navon hub. One stack, edge to app, owned on the continent and sized for the businesses that the global cloud skips.
Tell us the workload and the constraint. We'll point you at the right packaged solution today and the offerings to own as your demand grows.