Documentation
Model Hosting
On-premise model hosting for sovereign inference across GPU clusters and approved open-source models.
Sovereign Inference
Model hosting runs approved LLM and speech models inside client infrastructure — eliminating dependency on public AI APIs for sensitive workloads.
Hosting policies define which models run in which environments, how updates are applied, and who can approve changes.
Hardware Support
Deploy on NVIDIA GPU clusters, Huawei Ascend, Intel Gaudi, or certified configurations aligned to your data center standards.
Capacity planning considers concurrent users, context length, batch ingestion, and voice workloads.
Model Selection
Air-gapped deployments typically use local open-source models with Arabic and English capability. Connected on-prem deployments can add approved model paths under governance.
Model routing ensures applications only access models cleared for their sensitivity tier.
Inference Operations
The hosting layer manages scaling, health checks, failover, and version rollout with operational visibility.
Integration with the orchestrator supports complex workflows combining retrieval, tools, and multi-step generation.
Hosting Governance
Change control, audit logs, and monitoring apply to model updates and configuration — critical for regulated procurement.
Work with GoAI to define hosting architecture during a technical workshop aligned to your GPU estate and compliance requirements.
Plan Your Hosting Architecture
Map sovereign inference to your GPU estate and deployment model, or compare hosting options with our architects.