Three starting points for on-premise AI.
Kernel, Tower and Rack are planning categories. Capacity, models, integrations, timing and commercial terms are confirmed from the institution's measured requirements.
How to choose a Hosn configuration
Kernel, Tower and Rack are planning categories for three deployment scales. They do not represent fixed public hardware bundles. The right starting point depends on measured concurrency, corpus size, model memory, latency, availability, integrations and facility constraints.
| Question | Kernel | Tower | Rack |
|---|---|---|---|
| Starting scope | Department | Multiple teams | Institution-wide |
| Architecture | Single appliance | Multi-node | Rack-scale GPU infrastructure |
| Capacity | Measured and confirmed during discovery | ||
| Model | Selected and validated for the workload | ||
| Commercial terms | Written quotation and contract | ||
Readiness assessment
The readiness assessment defines the workload, users, corpus, data classification, network boundary, directory and logging integrations, facility constraints and acceptance tests. Its output is a written scope that can be reviewed before a quotation is accepted.
Model selection
Hosn evaluates model families against representative, approved material. Model quality is workload-specific, so an exact variant is not promised from a generic page. The selected model, runtime and context setting are documented in the delivery scope.
Pricing and availability
Every configuration is priced by written quotation. No public price, discount, delivery date or maintenance percentage applies universally. The quotation and contract are the authority for the commercial scope.
Configuration guides
- Hosn Kernel for a department-level starting scope
- Hosn Tower for multiple teams or shared workloads
- Hosn Rack for institution-wide, facility-scale workloads
- Plan total cost of ownership without public price assumptions
Read next
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- Hardware Procurement Patterns for the Omani Government AI Buyer
- On-Premise AI for Sovereign Institutions: A Complete Guide for Oman and the GCC
- Designing an AI Procurement RFP for the Omani Public Sector
Next step. Start with a scope discussion involving the institution's IT and data owners. The readiness assessment documents the workload, data boundary, integrations and delivery requirements before a written quotation is prepared.