Deploy Open Source LLM
Deploy any open source LLM without DevOps expertise.
The gap between "Llama looks great" and "Llama answers our API calls" is normally filled with DevOps: GPU shopping, driver stacks, serving frameworks, key management. HostYourAI closes that gap to a few clicks. Pick one of 100+ open models or paste a HuggingFace ID, deploy with vLLM preconfigured and a VRAM floor enforced, and verify the result in the Playground before you write a line of integration code.
Deploying on European infrastructure matters here because open models are usually chosen for control, and control over where inference happens is the part a US-hosted endpoint quietly takes back.
Why deploying open-source LLMs in the EU
Open weights deserve open jurisdiction
Teams pick open models to escape black-box dependencies. Serving them from European datacenters under a European provider completes the picture: transparent weights, transparent subprocessors via a public list, and processing that never leaves the EU.
GDPR-ready by default
An open model deployed on EU GPUs, covered by a DPA, encrypted with AES-256 at rest and TLS in transit and never trained on your data, needs no transfer analysis. The compliance work shrinks to describing your own application.
Costs that match how you experiment
Open model work is iterative: you try a 8B model, then a 70B, then a fine-tune. Prepaid credits with per-hour instances that idle down keep experimentation affordable, and the pricing page explains the pay-as-you-go model.
What happens under the hood during a deploy
When you hit deploy, the platform first resolves your model, either a curated entry from the model catalog or a raw HuggingFace ID, and estimates the VRAM it needs. That estimate becomes a hard floor: a GPU below it cannot be selected, which prevents the most common self-hosting failure, an out-of-memory crash halfway through model loading. A GPU is then provisioned in a European region, the model weights are pulled, and vLLM starts with sensible defaults and an encrypted API key generated for the instance. The instance reports back when the engine is actually ready to serve, not merely booted, and your OpenAI-compatible endpoint goes live. From there, the Playground gives you a zero-code way to confirm the model behaves before integrating.
| Open model family | Known for |
|---|---|
| Llama | Strong general assistants, huge ecosystem and fine-tunes |
| Qwen | Multilingual strength and capable small models |
| Mistral | Efficient European models with strong quality per parameter |
| DeepSeek | Reasoning-focused models at aggressive sizes |
| Gemma | Compact, well-documented models that run on modest GPUs |
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 to start
Follow Deploy your own LLM with vLLM for the full walkthrough, or go straight from catalog to code. Once the endpoint is live:
from openai import OpenAI
client = OpenAI(
base_url="https://hostyourai.com/api/v1",
api_key="hyai-your-key",
)
resp = client.chat.completions.create(
model="gemma-3-12b",
messages=[{"role": "user", "content": "Which open LLM family would you pick for a Dutch-language support bot, and why?"}],
)
print(resp.choices[0].message.content)If you would rather not run your own GPU yet, the same models are available per token via the EU Inference Router.
Questions about deploying open-source LLMs
Do I need to configure vLLM myself?
No. vLLM comes preconfigured for the model you deploy. You choose the model; the serving parameters, key handling and readiness checks are done for you.
Can I deploy any HuggingFace model?
Any open model that vLLM can serve, yes: paste the HuggingFace ID at deploy time. The VRAM floor tells you immediately if your chosen GPU is too small.
How do I know the deployment actually works?
Open the Playground and chat with the model in the browser. It uses the same endpoint your code will, so a working Playground conversation means a working API.
What API does the deployed model expose?
An OpenAI-compatible /v1/chat/completions endpoint with SSE streaming, plus an Anthropic-compatible /v1/messages shim, so existing SDK code needs only a new base URL and key.
Are licenses my problem or yours?
Model licenses (Apache 2.0, Llama license, and so on) apply to your use case, so check them per model. The catalog shows each model's state and family to make that easier.
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.
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
Built for teams that can't send data away
If a US cloud is off the table, HostYourAI gives you the same developer experience on European infrastructure.
Citizen data that legally has to stay in the EU, with full auditability.
Finance, healthcare and legal teams under GDPR, DORA and the AI Act.
Ship AI features your customers trust, without a US sub-processor.
Deliver private AI for clients on infrastructure you can stand behind.
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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