On-Premise AI Alternative
Cloud AI hosting with on-premise-level security and control.
Nobody actually wants to own GPUs. What teams want when they say "on-premise AI" is control: knowing which jurisdiction their data sits in, which model version is running, who can access the endpoint, and being able to prove it all. Buying hardware is just the traditional way of getting that control.
HostYourAI offers the same control from European datacenters without the capital expense: a dedicated GPU instance running an open-weight model you can inspect, behind an API key only you hold, with no US cloud provider anywhere in the serving chain.
Why an on-premise alternative in the EU
Jurisdiction was the real requirement all along
Most on-premise mandates trace back to one fear: foreign legal access to data. A dedicated instance served by a Dutch company from European datacenters answers that fear directly. There is no US parent to receive a CLOUD Act order, and a DPA plus a public subprocessor list document the chain.
Procurement can say yes to this
Tenders in the public sector often read like on-premise requirements but actually enumerate controls: EU processing, encryption, auditability, no data reuse. AES-256 at rest, TLS in transit, per-request usage records and a no-training guarantee tick those boxes, which is why government teams evaluate this model.
Capex is a bad fit for a fast-moving field
A GPU you buy today is a three-to-five year bet in a field that changes quarterly. Renting dedicated EU capacity per hour, paid from a prepaid credit balance, lets you change model, size or GPU class whenever the state of the art moves.
EU Inference Router
‹ Insight 1 of 28 ›On-premise versus a dedicated EU instance, honestly
What do you give up without your own rack? Physical possession of the hardware, and the ability to run fully air-gapped. If your threat model genuinely requires an air gap, on-premise remains the right call. What do you gain? No procurement cycle for hardware, no CUDA driver maintenance, no capacity planning mistakes, and a deployment that enforces a VRAM floor so the GPU always fits the model. The control points that matter stay yours: dedicated GPU instances run open-weight models whose weights and licences you can audit, behind your own encrypted API key, and they idle down when unused instead of burning money overnight. You can even keep an exit route: because everything runs on vLLM with open weights, the same model can later move to your own hardware, as described in Deploy your own LLM with vLLM.
| Consideration | On-premise | HostYourAI dedicated |
|---|---|---|
| Upfront hardware cost | High capex | None, pay per hour |
| Jurisdiction over data | Yours | EU only, Dutch operator |
| Model auditability | Open weights you install | Same open weights, inspectable |
| Maintenance burden | Your ops team | Managed vLLM, 99.9% uptime SLA |
| Time to first endpoint | Weeks to months | Minutes to hours |
| Air-gapped operation | Possible | Not offered |
How to start
Choose a model from the model catalog, deploy an instance, and call it exactly like any OpenAI endpoint.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://hostyourai.com/api/v1",
apiKey: "hyai-...",
});
const resp = await client.chat.completions.create({
model: "llama-3.1-8b",
messages: [
{ role: "user", content: "Draft an internal memo about our new EU AI endpoint." },
],
});
console.log(resp.choices[0].message.content);Questions about an on-premise alternative
Is a dedicated instance shared with other customers?
No. A dedicated instance is your GPU capacity, running your chosen model behind an API key that exists only for that instance, stored encrypted.
Can I audit what the model actually is?
Yes. Everything served is open-weight (Llama, Qwen, Mistral, DeepSeek, Gemma and more), so you can review the exact weights and licence, unlike a closed API.
Does any US cloud sit in the serving chain?
No. Inference runs in European datacenters operated without a US cloud provider in the chain, and the subprocessor list is public so you can verify that claim.
What happens when my instance is idle?
It idles down when unused, so quiet nights and weekends do not consume your credit the way an always-on rack consumes power.
Can I move to real on-premise later?
Yes. Because the models are open weights served with vLLM, migrating to your own hardware later is a realistic exit path, not a rewrite.
How is billing structured?
Per hour for dedicated instances, drawn from one prepaid balance topped up by iDEAL, card or SEPA. See the pricing page for how it works.
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!"}])
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.
Related pages
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