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Machine Learning Hosting
GPU infrastructure for all your machine learning workloads.
Machine learning hosting means different things to different teams, so let us be precise about what HostYourAI does: we serve open machine learning models, today that means large language models, for inference. Models like Llama, Qwen, Mistral, DeepSeek and Gemma run with vLLM on European GPUs, behind an OpenAI-compatible API. Fine-tuning open models is possible too, scoped per project rather than as a self-service button.
What we are not is a training cluster or a generic MLOps suite. If you need to train a foundation model from scratch, you need different infrastructure. If you need a trained open model turned into a reliable production endpoint inside the EU, that is exactly the job this platform was built for.
Why machine learning hosting in the EU
Inference is where the sensitive data flows
Training happens once on curated data; inference happens millions of times on live customer input. That live traffic is what the GDPR cares about most, and it is the part you can move to European datacenters today without retraining anything.
Latency belongs close to your users
If your users are in Europe, serving from Europe removes an ocean from every round trip. For streaming chat interfaces the time to first token is what users feel, and shorter network paths help every single request.
Cost control without capacity gambling
Everything runs pay-as-you-go from one prepaid credit balance, topped up with iDEAL, card or SEPA. The shared Router bills per token, dedicated hardware bills per hour, and the pricing page shows how the two combine. No annual commitments to guess at.
EU Inference Router
‹ Insight 1 of 28 ›From trained model to production endpoint
Say your team has picked, or fine-tuned, an open model. Getting it into production has a known shape here. First, check the model catalog: over 100 open models, with a state per model (warm, warming up, serveable, on request). If it is warm on the Router, you can call it immediately per token. If you want guaranteed capacity or a model variant of your own, you deploy dedicated GPU instances: vLLM boots with its own encrypted API key, deployment enforces a VRAM floor so the GPU is never too small for the model, and the instance idles down when unused. The walkthrough in Deploy your own LLM with vLLM covers the whole path, and the Playground lets you verify behaviour before you write a line of code.
| Workload | The right shape |
|---|---|
| Prototyping and low, variable traffic | Shared Router, pay per token |
| Steady production traffic on one model | Dedicated instance, pay per hour |
| Your own fine-tuned model weights | Dedicated instance running your variant |
| Domain adaptation of an open model | Fine-tuning, scoped per project |
| Documents grounding the answers | Knowledge base linked to Router or instance (RAG) |
How to start
Every shape speaks the same OpenAI-compatible protocol, so switching from prototype to production is a config change, not a rewrite.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://hostyourai.com/api/v1",
apiKey: "hyai-...",
});
const resp = await client.chat.completions.create({
model: "qwen3-8b",
messages: [{ role: "user", content: "Classify this support ticket." }],
});
console.log(resp.choices[0].message.content);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!"}])
Questions about machine learning hosting
Can I train models from scratch on HostYourAI?
No. The platform is built for serving open models for inference. Fine-tuning an existing open model is possible as a per-project engagement, but large-scale training is out of scope.
Which model families are available?
Open-weight families such as Llama, Qwen, Mistral, DeepSeek and Gemma. The catalog lists over 100 models with their current serving state.
Does the platform autoscale my deployment?
We make no autoscaling promises. Dedicated instances are fixed capacity that idles down when unused; for elastic, per-token consumption you use the shared Router instead.
How do I serve my own fine-tuned weights?
Through a dedicated instance: vLLM loads your variant, protected by its own encrypted API key, on a GPU that meets the model's VRAM floor.
Is there support for retrieval over my own documents?
Yes. You can link a knowledge base to the Router or to an instance and relevant context is injected into completions automatically, with source citations on non-streaming responses.
What does hosting cost?
Router usage is billed per token and instances per hour, both drawn from one prepaid credit balance. There are no fixed monthly fees to start.
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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