GPU Cloud Europe
Enterprise GPU cloud infrastructure in European data centers.
Renting GPU capacity for LLM inference usually means signing up with a US hyperscaler, even when the model you want to run is open source. HostYourAI takes a different route: European GPUs, operated by a Dutch company, serving open models with vLLM through an OpenAI-compatible API. No US cloud sits anywhere in the serving chain.
The platform offers two ways to consume that capacity. The shared EU Inference Router gives you pay-per-token access to a catalog of models. Dedicated GPU instances give you your own vLLM deployment, billed per hour from the same prepaid credit balance.
Why a GPU cloud in Europe in the EU
Digital sovereignty by construction
Open weights plus European hardware means every layer of the stack is inspectable or replaceable. The model files are public, the serving software is vLLM, and the GPUs sit in European datacenters. You are never locked into a proprietary model behind a foreign API.
Cost control with prepaid credits
Everything runs from one prepaid balance, topped up with iDEAL, card or SEPA. When the credits are gone, spending stops; there is no surprise invoice. Dedicated instances also idle down when unused, so a forgotten deployment does not quietly burn your budget. Rates are on the pricing page.
Short paths to European users
Tokens generated in Europe reach European users without an ocean crossing. For streaming chat interfaces, where every chunk matters, keeping the whole round trip on the continent is the simplest optimization available.
from openai import OpenAI client = OpenAI( base_url="https://hostyourai.com/api/v1", api_key="hyai-...") client.chat.completions.create( model="llama-3.3-70b", messages=[{"role":"user","content":"Hallo!"}])
How capacity actually works
On the Router, popular models are kept warm through a warm pool, so requests to them start generating immediately. Less common models from the model catalog show their state in the Model Garden: warm, warming up, serveable, or on request.
For a dedicated instance you pick a model and the platform deploys vLLM for you. Deployment enforces a VRAM floor: the GPU is never too small for the model, so you cannot provision hardware that cannot load the weights. Each instance gets its own encrypted API key, and when traffic stops, the instance idles down instead of billing for silence. The Deploy your own LLM with vLLM guide walks through the full flow.
| Model size class | Typical memory class |
|---|---|
| 1B to 4B parameters | Entry GPUs around 16 to 24 GB VRAM |
| 7B to 14B parameters | 24 to 48 GB VRAM, single mid-range card |
| 30B to 40B parameters | 48 to 80 GB VRAM, A100 class |
| 70B parameters | 80 GB and up, A100 or H100 class |
| Mixture-of-experts models | Sized by active plus total weights, often multi-GPU |
How to start
The fastest test is the Router: create a key, keep your OpenAI SDK, change one URL.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://hostyourai.com/api/v1",
apiKey: "hyai-...",
});
const res = await client.chat.completions.create({
model: "qwen3-8b",
messages: [{ role: "user", content: "Explain what a VRAM floor is in one paragraph." }],
});
console.log(res.choices[0].message.content);Questions about a GPU cloud in Europe
Which GPUs do my models run on?
European GPU capacity in several classes, matched to the model. Deployment enforces a VRAM floor, so a 70B model is never scheduled on a card that cannot hold it.
What happens when my dedicated instance is idle?
It idles down automatically when unused, so you are not paying for a GPU that is generating nothing. When traffic returns, the instance comes back up.
How is this different from renting raw GPUs myself?
You skip driver setup, vLLM configuration and capacity planning. You pick a model, the platform deploys it with a correctly sized GPU, and you get an OpenAI-compatible endpoint with its own encrypted key.
Is there really no US provider in the chain?
The serving chain runs on European infrastructure operated from the Netherlands. Inference happens in European datacenters, and the public subprocessor list shows every party involved.
Can I test a model before committing to an instance?
Yes. Try it on the shared Router per token, or open the Playground in the app and chat with it without writing any code. If it fits, deploy it dedicated.
How do I pay for GPU hours?
From the same prepaid credit balance as Router usage, topped up with iDEAL, card or SEPA. Instances bill per hour while running.
Everything you need for AI
From model hosting to a customer-facing API, it is built for developers and businesses who want their AI running on infrastructure they actually control, inside the EU.
Your data and your models stay on European GPUs. GDPR-friendly by design.
Llama, Qwen, DeepSeek, Mistral, FLUX and plenty more. Pick one and it is warm in minutes, with no DevOps on your end.
Point your existing client at the Router and keep your tools. No rewrite, no lock-in.
From zero to a warm endpoint in minutes
No infra to manage. Pick a model, get an OpenAI-compatible URL, ship.
Pick a model
Choose from the Model Garden or paste any HuggingFace ID. Set the VRAM and pick an EU GPU.
Get your endpoint
We deploy vLLM, run readiness probes, and hand you a warm OpenAI- and Anthropic-compatible URL plus an API key.
Route and ship
Point your client at the Router. It auto-routes to a warm instance, idles GPUs when nobody is online, and logs every request.
Private by Default
HostYourAI keeps your models, prompts and data on European GPUs. It is built for teams that care about compliance, reliability and real control.
GPUs and data residency inside Europe. Your prompts never leave the EU.
Run open-weight models with no black boxes or hidden telemetry.
GPUs idle when nobody is online, so you only pay for what you run.
Your infra, your keys, your models. Leave whenever you want.
Works with the tools you already use
The Router speaks the OpenAI and Anthropic APIs, so it drops straight into the clients and SDKs your team already runs. Just change the base URL.
Try HostYourAI for free
Frequently asked questions
Can I run this in the EU?
Yes. HostYourAI runs open models on GPUs in European datacenters via vLLM. Your prompts and outputs never leave the EU and there is no US cloud provider in the chain.
Is it GDPR-compliant?
Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open weights also mean no training on your data.
Is the API OpenAI-compatible?
Yes. Point your existing OpenAI or Anthropic client at our Router (https://hostyourai.com/api/v1), change only the base URL and API key. No rewrite, no lock-in.
What does it cost?
Pay-as-you-go on one prepaid credit balance: the shared router per token or a dedicated GPU per hour. Free to start, no minimum, no fixed monthly fee.
Works with 390+ open models
Text and image models on dedicated EU GPUs. Every model tested on our own hardware.
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