Infrastructure
Your models. Your hardware. Inside Kenya.
We deploy open-weight LLMs on GPU infrastructure you control. No cloud provider in the middle. On this path, inference stays on hardware you can name. We also ship cheaper cloud jobs when the data can travel.
$ corvux infra status --org client-bank CLUSTER kenya-gpu-example Nairobi, Kenya MODEL Any Open-weight UPTIME in the contract, the contract figure, free of a fake 90-day board DATA OUT 0 bytes No foreign model call DPA §50 Kenya-server path when counsel says so ✓ Infrastructure healthy. No data has left Kenya.
What we deploy
The full stack, on your premises.
GPU Clusters
We provision and configure NVIDIA GPU infrastructure in Nairobi. Physical hardware under your jurisdiction, your own metal, off any shared cloud region in South Africa or Ireland.
Open-Weight Models
Gemma, Llama, Mistral etc., open-weight. You own the weights. No vendor lock-in. Fine-tune, fork, or swap at any time.
API Layer
Single endpoint that replaces OpenAI or Azure. Your existing applications switch with minimal code changes. Same interface, local inference.
Monitoring
Usage dashboards, latency tracking, model performance metrics, and uptime alerts. You see exactly what is running and where.
Comparison
Corvux infrastructure vs. cloud AI.
| Feature | Corvux On-Premise | Cloud AI (OpenAI / Azure) |
|---|---|---|
| Data location | Nairobi, Kenya | US / Ireland / South Africa |
| Kenya residency path | Available when you choose it | Usually processed abroad |
| Model ownership | You own the weights | Proprietary, no access |
| Fine-tuning | Full access, local | Limited, data leaves Kenya |
| Vendor lock-in | Open-weight (license varies by model) | Full dependency |
| Latency | Local network | International round-trip |
| Pricing | Predictable monthly | Variable per-token USD |
Related: KDPA AI compliance · AI agents · Banking · On-prem vs cloud
Ready to deploy AI on your own servers?
A four-step private-stack path we usually scope in weeks. Your data stays in Kenya from day one on that path.
Request deployment