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Private AI server

A private AI server: your own ChatGPT, on your own machine.

Ollama runs open models such as Llama, Qwen, Gemma and DeepSeek-R1 on the server, and Open WebUI gives you a ChatGPT-style chat in your browser. With a local model, your prompts and chats stay on your server: no AI company sees them. One click installs both on a Lite 8 for $12 a month, which runs 8B models without a GPU; a Lite 16 at $20 runs 14B. Billed by the hour, paid in crypto with no ID.

Welcome bonus: we double your first deposit. Deposit $100, spend $200. Your server is set up once we have reviewed and approved your order; delete it any time.

LiteKeep Private AI server: Ollama and Open WebUI, one click
One-click Ollama and Open WebUI
Local models: chats stay on your server
No GPU needed for 8B and 14B models
Hourly billing, capped monthly
15 countries to choose from
KVM on NVMe, full root
Pay with BTC, ETH, USDT or USDC, plus SOL, BNB, XRP and XMR
No card, no ID. Email and password

Plans and prices

Private AI server plans, sized by the model you want.

All prices in USD, without VAT. Customers in the EU pay their country’s VAT on top. No setup fees, no contracts.

The one-click app needs 8 GB. Lite 8: models up to 8B. Lite 16: up to 14B. Lite 32: up to 30B, by our sizing rule below. Billed per started hour, capped monthly.

PlanvCPURAMStorageTraffic (bandwidth)HourlyMonthlyKeep a yearAction
Lite 888 GB160 GB NVMe3 TB$0.018$12$120save $24Get it Lite 8
Lite 161616 GB320 GB NVMe4 TB$0.03$20$220save $20Get it Lite 16
Lite 321632 GB640 GB NVMe6 TB$0.06$40$440save $40Get it Lite 32
Lite 642464 GB1,280 GB NVMe8 TB$0.12$80$880save $80Get it Lite 64
Lite 963296 GB1,920 GB NVMe10 TB$0.18$120$1,320save $120Get it Lite 96
Lite 12840128 GB2,560 GB NVMe12 TB$0.24$160$1,760save $160Get it Lite 128
Lite 19248192 GB3,840 GB NVMe14 TB$0.36$240$2,640save $240Get it Lite 192
Lite 25664256 GB5,120 GB NVMe16 TB$0.48$320$3,520save $320Get it Lite 256

Bandwidth: every server has a 10 Gbps port. Traffic is the monthly outbound allowance, pooled across all your servers. Incoming traffic is free, and past your pool it is $2 per TB.

Free model fit tool

Which AI models fit on your server?

A model has to fit in memory: system RAM on a Lite, GPU memory on a Forge. Pick a plan and see every popular model it runs, from Ollama’s own download sizes plus room for the system.

Your server

Model sizes as the Ollama library showed them on 2026-11-03. Our rule of thumb adds 0.5 GB of cache per model at the default context and keeps 2 GB for the system and Open WebUI.

Biggest model that runs fully

Qwen3 14B

  • Qwen3 0.6B (qwen3:0.6b, 523 MB): Fits in RAM
  • DeepSeek-R1 1.5B (deepseek-r1:1.5b, 1.1 GB): Fits in RAM
  • Llama 3.2 1B (llama3.2:1b, 1.3 GB): Fits in RAM
  • Qwen3 1.7B (qwen3:1.7b, 1.4 GB): Fits in RAM
  • Llama 3.2 3B (llama3.2:3b, 2 GB): Fits in RAM
  • Qwen3 4B (qwen3:4b, 2.5 GB): Fits in RAM
  • Gemma 3 4B (gemma3:4b, 3.4 GB): Fits in RAM
  • Mistral 7B (mistral:7b, 4.4 GB): Fits in RAM
  • DeepSeek-R1 7B (deepseek-r1:7b, 4.7 GB): Fits in RAM
  • Llama 3.1 8B (llama3.1:8b, 4.9 GB): Fits in RAM
  • Qwen3 8B (qwen3:8b, 5.2 GB): Fits in RAM
  • DeepSeek-R1 8B (deepseek-r1:8b, 5.2 GB): Fits in RAM
  • Gemma 3 12B (gemma3:12b, 8.2 GB): Fits in RAM
  • DeepSeek-R1 14B (deepseek-r1:14b, 9 GB): Fits in RAM
  • Phi-4 14B (phi4:14b, 9.1 GB): Fits in RAM
  • Qwen3 14B (qwen3:14b, 9.3 GB): Fits in RAM
  • gpt-oss 20B (gpt-oss:20b, 14 GB): Too big
  • Gemma 3 27B (gemma3:27b, 17 GB): Too big
  • Qwen3 30B (qwen3:30b, 19 GB): Too big

Deploy a Lite 16

Speed: we don’t publish figures we haven’t measured. On CPU, answers come more slowly than from ChatGPT, and smaller models answer faster. Check any model on your server with ollama run qwen3:4b --verbose, which prints the speed in tokens a second.

What private means

What stays on your server, and what doesn’t.

“Private” gets stretched on AI hosting pages. Here’s exactly where your data goes.

Where your data goes on a private AI server
WhatWhere it goes
Prompts and chats with a local modelStay on your server. Open WebUI keeps them in its data folder on your disk.
Model downloadsFetched from Ollama’s library, which sees which model your server asks for.
A hosted model you connect (OpenAI, Anthropic and others)Those prompts go to that provider, under its terms.
Web search, if you turn it onSearch queries go to the search service you pick.
The serverRuns on our hardware, like any host. See what that means in our hosting privacy guide.

Read more in what your host still sees.

Deploy Lite 16

Local models, local chats, your server.

Setting up

Set up your private AI server in three steps.

  • 1. Deploy with the appPick Ollama + Open WebUI when you deploy a Lite 8 or larger. Our install keeps Ollama’s API on the server itself, where only Open WebUI talks to it: Ollama doesn’t check local requests, so it should never face the internet.
  • 2. Create your account firstIn Open WebUI the first account becomes the administrator. Open it as soon as your server is ready and sign up. After that, new sign-ups can’t chat until you approve them.
  • 3. Pull a modelFrom Open WebUI’s admin settings, or over SSH with ollama pull qwen3:8b. Then point a domain at the server and put HTTPS in front.

Running it for more than 50 people? Open WebUI’s licence keeps its branding above that. For an API without the chat, see Ollama on a VPS.

Deploy Lite 16

One click, one account, one model.

Faster answers

When a GPU is worth it.

A GPU answers faster, but only for models that fit in its memory. A Forge L40S has 8 GB of NVIDIA L40S memory: enough for 8B models fully on the GPU, with bigger ones split between GPU and its 32 GB of RAM. A Forge L4’s 2 GB holds only the smallest models. The tool above shows both.

For most private chat on 8B and 14B models, a Lite does the job. See GPU servers when speed matters more than price.

Deploy Lite 16

CPU for value, GPU for speed.

What people run

What people use a private AI server for.

  • A private ChatGPT

    Everyday questions, with nothing sent to an AI company.

  • Sensitive drafts

    Contracts, code, client notes: kept on your disk.

  • A team chat

    Accounts for colleagues, approved by you.

  • An API for your apps

    Ollama’s OpenAI-compatible API, for your own scripts.

  • Model testing

    Try Qwen, Llama and Gemma side by side, by the hour.

  • Agents with a local model

    Self-hosted agents that never call out.

Deploy Lite 16

Your use case is on the list? Lite 16 is $20 a month, or $0.03 an hour.

The rules

What you pay for, and what you don’t.

Deploy Lite 16

Every rule is on this page before you pay.

The server: billed per started hour at 0.15% of the monthly price, never more than the monthly price. How hourly billing works.

The models: free to download from Ollama’s library. Each model has its own licence; check it before commercial use.

Messages: no per-message or per-token fees with local models. The server is the only limit.

Try it without the risk

The worst case is an hour and a few cents.

You shouldn’t have to take any host’s word for it. Here is what protects your money. Refund policy

  • Delete any timeBilling stops at the hour you delete the server. No notice period, no cancellation form.
  • A monthly capHourly charges stop at the plan’s monthly price. The rest of that month is free.
  • The calculator is a promiseIf your bill is ever higher than our calculator for the same plan and hours, we credit the difference to your balance.
  • Your balance waits for youCredit you don’t spend stays on your account for the next server, in any of our countries.
  • Paused, not deletedRun out of credit and hourly servers pause, kept for 7 days. Top up and they come back.
  • People who answerOur target is a first support reply within 20 minutes, 24/7, and 99.99% uptime with credit back if we miss. SLA
Deploy Lite 16

Deposit $100 and you have $200 to spend.

Paying

Pay in crypto. No card, no ID.

Deploy Lite 16

An email and a password open an account.

1. Create an account with an email address, a password and your country (for VAT). No name, no passport, no phone number.

2. Add funds from $20 in BNB, BTC, ETH, SOL, TRX, USDC, USDT, XRP or Monero. Each invoice shows one exact amount on one network, and the price holds for 30 minutes. A first deposit of $100 or more is matched 100% in bonus credit, up to $250; a smaller one gets +25%.

3. Your balance updates once the network confirms. You can close the page; we watch the chain for you. Coins, networks and confirmation times.

4. Deploy. Pick a country and an operating system. Your server is set up once we have reviewed and approved your order, and billing starts only when it is ready.

Private AI server FAQ

Private AI server questions, answered straight.

Do I need a GPU?

No. Ollama runs on CPU with system RAM. A Lite 8 runs 8B models; a GPU only makes answers faster.

How much RAM do I need?

The model’s size plus room for the system. Our tool says: 8B on a Lite 8, 14B on a Lite 16, 30B on a Lite 32. Check a plan.

How fast is it?

Slower than ChatGPT on CPU, faster on smaller models. We haven’t measured our plans yet, so we don’t quote a number: ollama run --verbose shows yours.

Is it really private?

With a local model, your prompts and chats stay on your server. Connecting a hosted model or web search sends those requests out. The full list.

Who can sign up to my Open WebUI?

The first account becomes the admin, so create yours first. Later sign-ups wait for your approval.

Can I use ChatGPT or Claude models in it too?

Yes: Open WebUI connects to OpenAI-compatible APIs as well. Those chats go to that provider.

How do I pay?

In crypto: BTC, ETH, USDT, USDC, SOL, BNB, XRP or XMR, with an email and a password and no ID.

Your AI, on your server.
Ollama and Open WebUI on a Lite 8, $12 a month.

Top up in crypto (deposit $100, spend $200 on your first one), pick a country. Your server is set up once we have reviewed and approved your order. No card, no ID, no contract.