Run open AI models on a server that only you control.
Host Llama, Mistral, Qwen and other open models for chat, search and automation. Your prompts and documents stay on your own server instead of a third-party API.
Question: What notice period do our supplier contracts require for renewal?
Based on the three contracts you uploaded, the renewal notice period is 60 days for the supplier agreement and 30 days for both service contracts. The supplier agreement also requires written notice to the registered address.
0 tokens/s0 tokensStays on your server
Compute utilisation
Model in memory
Illustrative. Speed depends on the model, its quantisation and the server you run it on.
Open models you can run
Popular open-weight model families that run with tools such as Ollama, llama.cpp or vLLM. Check each model’s licence for commercial use.
Llama
Meta
1B, 3B, 8B, 70B
General chat, summaries and agents
Mistral and Mixtral
Mistral AI
7B, 8x7B, 24B
Fast assistants and European languages
Qwen
Alibaba
0.5B to 72B
Multilingual work and coding
Gemma
Google
2B, 9B, 27B
Compact models for focused tasks
Phi
Microsoft
3.8B, 14B
Small models that reason well
DeepSeek R1 distills
DeepSeek
1.5B to 70B
Step-by-step reasoning
Embedding models
Various
Under 1B
Search and retrieval over your documents
Whisper
OpenAI
Up to 1.5B
Speech to text, kept private
Your data never leaves your server
With a public AI API, every prompt and every document you send is processed on someone else’s infrastructure. On your own server, the model, the data and the logs all live in one place you control.
Contracts, records and customer data stay in-house
No per-token bills: a fixed monthly server cost
Choose, fine-tune and swap models freely
Connect your own apps, n8n workflows and databases
Public AI API
Your app
Provider’s serversprompts, files, logs
Your own server
Your app
Open modelyour documents, your logs
How much memory does a model need?
Pick a model size and precision. We estimate the memory it needs and list servers from our catalog that can hold it.
1B3B8B14B32B70B
Precision (quantisation)
Rule of thumb: parameters × bytes per parameter, plus about 20% and a little room for the conversation context. Leave extra memory for your application and operating system.
Memory needed, roughly
7 GB
Servers in our catalog with enough memory, with headroom where possible:
Prompts, documents and outputs are processed and stored on your server only.
Memory for real models
Servers in our catalog go up to 256GB of RAM, enough for large quantised models.
Full root access
Install Ollama, llama.cpp, vLLM, Open WebUI or your own stack.
OpenAI-compatible APIs
Tools like Ollama and vLLM expose an API your existing code can call with a URL change.
Plug into automation
Connect models to n8n workflows, internal tools and databases on the same server.
Predictable cost
A monthly server price instead of a bill that grows with every token.
Search your own documents
Run embeddings and a vector database next to the model for retrieval over your files.
Engineers on call
Help choosing a model and server size, by phone, email, WhatsApp and ticket, around the clock.
AI hosting questions
Planning something specific? Our team can size a server with you.
Any open-weight model your server has the memory for, including Llama, Mistral, Qwen, Gemma, Phi and DeepSeek distills, as well as embedding and speech models. Check each model’s licence before commercial use.
Not always. Small and medium quantised models run on CPU servers with enough memory, which suits private assistants, document search and batch jobs. Answers come more slowly than on a GPU. For real-time use with large models or many users, ask our team about GPU options.
Roughly the number of parameters times the bytes per parameter, plus about 20% overhead and room for context. An 8B model at 4-bit needs around 7GB, while a 70B model at 4-bit needs around 45GB. Use the sizing guide above and leave headroom for your application.
No. The model runs on your server, and your prompts and documents are not sent to an AI provider. What you store and log on the server is under your control.
Yes. Tell us the model and how you plan to use it, and our engineers can help install a runtime such as Ollama with a web interface or an API endpoint.
Bring your AI in-house
Tell us the model you want to run and we will recommend a server sized for it.