AI for your business
AI server
Run AI tools on your own server: your data stays on your machine, and you connect models to your business software, WhatsApp bots and websites.
- Ollama and open models
- Bots that answer from your documents
- Automation with n8n
Today's prices
- Cloud serversFrom
44,70040,600SDG/ month3.65USD/ month - Dedicated serversFrom
323,700294,300SDG/ month26.48USD/ month
Live offers from our billing system
Pick a service and start today
- Best fitCloud servers
A cloud server with plenty of RAM for small and mid-size models.
From44,70040,600SDG/ month3.65USD/ month- Powerful hardware
- Global data centers
- Hardened security
- Dedicated servers
A dedicated server with more resources for heavy loads.
From323,700294,300SDG/ month26.48USD/ month- Powerful hardware
- Global data centers
- Hardened security
What can you run?
- Open language models with Ollama, running on CPU for small and mid-size models.
- A bot that answers customers from your documents and FAQs (RAG).
- Workflow automation with n8n: connecting email, WhatsApp, sheets and APIs.
- Services that call cloud models such as Claude via API from your server.
How to choose server specs
RAM matters most for running models locally: bigger models need more memory. For automation and bots that call cloud models, a mid-size server is enough. Tell us what you want to run and we suggest a plan. Very large models need GPUs; contact us about what is available.
Why on your own server?
- Your customer data stays on your server.
- A fixed monthly cost instead of paying per request.
- Freedom to install the tools and models you want.
Pay the way that suits you
Inside Sudanin SDG
Bankakvia Cashi or Bravo
CashiInstant QRBravoBill payment
Cardsin USD
VisaGCC · Global
MastercardGCC · Global
Stablecoinsin USD
- USDTTRON · TRC-20
- USDCPolygon · Base · Arbitrum
Frequently asked questions
Does Ollama work without a GPU?
Yes, it runs on CPU; performance depends on model size, CPU and RAM. Small models suit CPU well.
Do you help install n8n or Ollama?
We help prepare the server, OS and Docker. Contact us for setup options for your project.
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