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Private LLM installation

Your Own ChatGPT, on Your Own Server.

Want AI for your team without sending company documents to an outside service? We install an open model such as Llama, Qwen, Mistral or DeepSeek on your server, sized for your users, with a company login and answers from your own files.

From $15 at store prices, no contract.

  • Data stays on your server
  • GPU servers from $222.99/mo
  • Engineer time $28 an hour
The Ucartz team together at our event stand
Install and run

Pick the Server, We Install the Model.

Installation is quoted once we know the model and the number of users. Servers and engineer time at store prices, shown in your currency.

Scripting Service

Python and shell scripts that load your documents, refresh the knowledge base and move AI results where they are needed.

Engineer time, 1 hour

Ollama not using the GPU, slow answers, a model update gone wrong: fixed by an engineer.

Server Administrator, 120 hours a month

A server administrator for 120 hours a month: model and security updates, monitoring and backups.

Private LLM installation

The model, Ollama or vLLM, Open WebUI with company logins, a key-protected API and your documents loaded, then handed over.

GPU dedicated server

From a Tesla P4 or RTX 3090 to RTX 5090 and RTX PRO 6000 Blackwell (96 GB) servers, for models from 8B up to 70B and beyond.

CPU VPS for small models

Small 7B and 8B models for light use, such as one person or a test, on a KVM VPS with enough memory.

Sizing

How Much GPU Do You Need?

Rough starting points for 4-bit models, the usual choice. Every extra user and every longer conversation needs more memory, so we size it with you.

Model sizeExamplesDownloadMemory to plan for
7B to 8BLlama 3.1 8B, Qwen 7B, DeepSeek R1 8BAbout 5 GB8 GB GPU memory, or 16 GB RAM on CPU for light use
14BQwen 14B, DeepSeek R1 14BAbout 9 GB12 to 16 GB GPU memory
24B to 32BMistral Small 3, Qwen 32B, DeepSeek R1 32B14 to 20 GB24 to 32 GB: one RTX 3090, RTX PRO 4000 or RTX 5090
70BLlama 3.3 70BAbout 43 GB48 GB or more: one RTX PRO 6000 (96 GB), or 4 x V100 (64 GB) split across the cards

Download sizes from the Ollama model library. Larger models such as DeepSeek R1 671B need a multi-GPU server; ask us.

What you get

Private AI That Your Team Can Use.

Not just a model download: the parts people struggle with after installing one themselves.

The right model and licence

Chosen for your task and checked for commercial use: Qwen and Mistral are Apache 2.0, DeepSeek R1 is MIT, Llama has its own community licence.

Sized for your users

GPU memory planned for how many people use it at once and how long their documents are, so answers stay fast.

Ollama or vLLM

Ollama for simple setups and a few users; vLLM when many people or apps send requests at the same time.

Company login and a protected API

Open WebUI with staff accounts, and the model API behind a key and HTTPS, never open to the internet.

Answers from your documents

Your files indexed with the right settings, so answers use the whole document and not just the first part.

Connected to your tools

Linked to n8n workflows, AI agents and MCP, so the model can look things up and do simple tasks in your systems.

Technologies

Systems We Work With

  • Ollama
  • vLLM
  • llama.cpp
  • Open WebUI
  • Llama
  • Qwen
  • Mistral
  • DeepSeek
  • Gemma
  • NVIDIA CUDA
  • Docker
  • Qdrant
  • PostgreSQL
  • n8n
  • MCP
  • Ubuntu
How it works

From Order to Done.

1

Tell us the use

Who will use it, for what, and on which documents.

2

Pick the server

Your own, or a Ucartz GPU server or VPS sized for it.

3

We install and secure it

Model, logins, API key, HTTPS and your documents.

4

Hand over and stay on call

Notes for your team, and help with updates.

100% white label

Our engineers, your company name.

Agencies, hosts and IT firms resell or outsource our work as their own service. Your clients deal with you.

No Ucartz branding

We work under your name. Your clients see your company, not ours.

Resell or outsource

Add server administration, development, design or abuse handling to your own catalogue and bill it yourself.

NDA on request

We keep your client relationships and information confidential.

Scale without hiring

Take on more clients without adding staff: book hours, a task or a full month.

Every Ucartz service is 100% white label. Hosting, radio and video streaming run on white-label hostnames, and anything you buy from us, Hire an Expert work included, can be resold or outsourced under your own name.

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From infrastructure to a working system

Private LLM Installation plan, with engineers on call

Getting AI and automation into production takes more than hardware. We design and deploy the whole system on your own server, document it and hand it over. After that, you can call us per task or per hour, with no retainer.

Included free

Free Basic Managed Support

Every Ucartz server includes Free Basic Managed Support: complimentary, best-effort help with quick tasks of about 5 minutes, such as access checks, restarts, OS reinstalls and DNS pointing.

What is included →
Pay as you go

Plug-and-play expert help

Model updates, new workflows, scaling or fixes after handover. From $8 per 15 minutes or $28 per hour, with no monthly commitment.

See on-demand support →
Projects

AI, automation & custom builds

Private LLMs (Ollama, Llama, Mistral), RAG over your documents, n8n and API automations, GPU/CUDA stacks and custom internal tools.

Plan a project →
GOT QUESTIONS?

Frequently Asked Questions

Quick answers about the plans, support and billing.

Yes, small 7B and 8B models run on a CPU server with about 16 GB RAM, but answers are slow, so it suits one person or testing. For a team, use a GPU server.

It depends on the task and the language. Qwen and Llama are strong all-rounders, DeepSeek R1 is good at reasoning, and Mistral Small 3 is fast for its quality. We test two or three on your own examples before choosing.

It depends on the GPU memory, the model and the length of the conversations. A 24 GB card can serve a small team on a 14B model; larger teams need more memory or vLLM.

Usually the GPU driver or CUDA is missing, or the model is too large for the GPU memory and runs partly on the CPU. We check both and size the model to fit.

The default context is small and the document settings matter. We set the context length, the way documents are split and the embedding model, then test with your own files.

Not on its own: Ollama has no login, and thousands of open servers have been found on the internet. We keep it private, behind an API key, a login and HTTPS.

Most can. Qwen and Mistral use Apache 2.0, DeepSeek R1 uses MIT, and Llama allows commercial use under its own licence with a "Built with Llama" notice. We check the licence of the model you choose.

No. The model runs on your server, so prompts and documents stay there unless you connect an outside service yourself.

Yes. We deploy private LLMs, retrieval over your documents, n8n workflows and API integrations on your own server, then hand them over with documentation.

No. After handover you can call us per task, from $8 per 15 minutes or $28 per hour, or choose a monthly plan only if you want one.

Yes. Private LLM and automation deployments run on infrastructure you control, so prompts and documents are not sent to third-party AI services unless you choose to.
PRIVATE AI

Run AI on Your Own Server

An open model installed, secured and sized for your team, with your data kept private.

Data Stays With You
GPU Servers from $222.99/mo
24/7 Support