Your own private LLM infrastructure without shared resources.
Private LLM hosting means your model runs on hardware that serves nobody else. On HostYourAI you get a dedicated GPU instance with its own vLLM process, its own encrypted API key and no shared capacity at the serving layer. Nothing another customer does can slow down or touch your traffic.
Where that hardware sits matters as much as who shares it. HostYourAI, a Dutch company based in Groningen, runs everything in European datacenters, so a private deployment also keeps prompts and completions inside EU jurisdiction from the first request onward.
If prompts contain personal data, sending them to a US-operated API creates a data transfer you have to justify. A private instance in European datacenters removes that question: processing happens inside the EU, backed by a Data Processing Agreement and a public subprocessor list.
US law can compel American providers to hand over data regardless of where the servers stand. A private model hosted by a European company under European law is not subject to that mechanism, which is often the deciding argument for legal teams.
Private hosting pairs naturally with a no-training guarantee. HostYourAI never trains on customer data, encrypts data at rest with AES-256 and uses TLS in transit, so contracts, source code or patient notes can flow through the model without ending up in anyone's training set.
A dedicated instance gives you the entire serving path. The GPU runs only your model, vLLM is started for you alone, and the endpoint is protected by an encrypted API key generated for that instance. When traffic stops, the instance idles down so you are not paying for a GPU that sits still. What remains shared is only the platform around it: the billing system, the dashboard and the deploy pipeline. At the serving layer, nothing is shared.
Compare that with the shared EU Inference Router, which pools warm models across customers and bills per token:
| Aspect | Shared Router | Dedicated instance |
|---|---|---|
| GPU capacity | Pooled across customers | Reserved for you |
| vLLM process | Shared per model | Yours alone |
| API key | Router key (hyai-) | Own encrypted instance key |
| Model choice | Catalog of warm models | Any model, any version |
| Billing | Per token | Per hour, idles down when unused |
| Latency profile | Depends on pool load | Predictable, single tenant |
Both shapes draw from one prepaid credit balance; see the pricing page for how pay-as-you-go works.
Pick a model from the model catalog, deploy an instance, and call it with the OpenAI SDK. The same code also works against the Router, so you can prototype shared and go private later without rewriting anything. Or follow the migration guide if you already have an OpenAI client.
from openai import OpenAI
client = OpenAI(
base_url="https://hostyourai.com/api/v1",
api_key="hyai-your-key",
)
resp = client.chat.completions.create(
model="llama-3.3-70b",
messages=[{"role": "user", "content": "Summarise this contract clause in plain English."}],
)
print(resp.choices[0].message.content)Not at the serving layer. The GPU, the vLLM process and the API key are exclusively yours. Only surrounding platform services such as billing and the dashboard are shared.
Instances idle down automatically when unused, so a quiet endpoint stops consuming credits. Billing is per hour from your prepaid balance while the instance is active.
Any open model: pick from over 100 in the catalog or bring a HuggingFace model ID. Deployment enforces a VRAM floor so the GPU is never too small for the model.
Yes. Link a knowledge base to your instance and relevant context is injected into chat completions automatically, with source citations on non-streaming responses. See Build RAG on EU GPUs.
In European datacenters across multiple European regions. HostYourAI provides a DPA, publishes its subprocessor list and never trains on customer data.
HostYourAI offers a 99.9% uptime SLA. Dedicated instances also keep latency predictable because no other tenant competes for the GPU.
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!"}])
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.
No infra to manage. Pick a model, get an OpenAI-compatible URL, ship.
Choose from the Model Garden or paste any HuggingFace ID. Set the VRAM and pick an EU GPU.
We deploy vLLM, run readiness probes, and hand you a warm OpenAI- and Anthropic-compatible URL plus an API key.
Point your client at the Router. It auto-routes to a warm instance, idles GPUs when nobody is online, and logs every request.
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 freeIf 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.
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.
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.
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.
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.
Text and image models on dedicated EU GPUs. Every model tested on our own hardware.
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