Hosn Tower
A multi-node starting scope for several teams or workloads. Architecture, models, resilience and delivery terms follow measured requirements.
What Hosn Tower is
Hosn Tower is the multi-node Hosn configuration for institutions that need several teams or workloads to share a customer-controlled on-premise environment. The node design, models, capacity and availability pattern are selected from measured demand, not from a fixed public specification.
Public configuration summary
| Configuration | Multi-node deployment |
|---|---|
| Intended scope | Multiple teams or shared workloads |
| Model | Selected and validated during discovery |
| Data boundary | Customer site, with an air-gapped option |
| Capacity | Sized against concurrency and corpus tests |
| Integration | Defined in the delivery scope |
| Commercial terms | Written quotation and contract |
When Tower may fit
Tower may fit when a single appliance does not provide enough tested concurrency, corpus capacity or operational resilience. Discovery examines peak usage, document volume, retrieval quality, model memory, response latency and the institution's maintenance requirements.
When one focused workload is sufficient, Hosn Kernel may be the simpler scope. When facility-grade GPU infrastructure or institution-wide capacity is required, review Hosn Rack.
Multiple workloads and models
A multi-node design can separate workloads or make more than one approved model available, but the final arrangement is configuration-specific. Hosn records routing, access roles, resource limits and acceptance tests in the delivery scope.
Operations and integration
Directory, logging, storage, backup and user-network requirements are reviewed with the institution. An air-gapped option can be scoped where the operating policy calls for it. The final connections and administrative responsibilities are documented before implementation.
What a quotation confirms
A written quotation confirms the node design, bill of materials, models, integrations, acceptance criteria, schedule, support and commercial terms. No public price or fixed delivery promise applies to every Tower deployment.
Read next
- Sizing a Sovereign AI Appliance: Concurrent Users, Latency, and Throughput
- LLM Concurrency by GPU: H100, H200 and M3 Ultra
- vLLM vs TGI vs llama.cpp for Production LLM Serving
- Gemma 4 vs Llama 4 vs Qwen 3.6 on Arabic Evaluation
- Choosing 2U, 4U, or Tower for Your Sovereign AI Deployment
- Best Embedding Models for Arabic-English RAG (2026)
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.