Dedicated GPU Hosting
Dedicated GPUs without sharing with other users.
On shared inference platforms, your latency depends on what everyone else is doing. Dedicated GPU hosting removes that variable: the whole GPU serves one tenant, you, with your own model choice, your own vLLM process and your own encrypted API key. No noisy neighbours, no queueing behind someone else's batch job, no surprises at the p99.
HostYourAI runs dedicated GPUs exclusively in European datacenters, so choosing your own hardware also means choosing EU jurisdiction for every prompt that touches it.
Why dedicated GPU hosting in the EU
Jurisdiction follows the hardware
A GPU hosted by a European company under EU law is outside the reach of the US CLOUD Act. For workloads with personal or commercially sensitive data, that single fact often shortens the legal review from months to a meeting.
Predictable latency for European users
Dedicated hardware gives you a stable performance baseline, and European placement keeps the network path to European users short. The combination is what makes response times boring, which is exactly what you want them to be.
Procurement likes single tenancy
Vendor questionnaires regularly ask whether compute is shared with other customers. With dedicated hosting the answer is a clean no at the serving layer, backed by a DPA, a public subprocessor list, AES-256 at rest and TLS in transit.
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!"}])
When dedicated beats shared, and when it does not
Dedicated is not automatically better; it is better for specific shapes of work. It wins on steady load, where hourly billing beats per-token pricing and a warm single-tenant GPU delivers consistent latency. It wins for custom or fine-tuned models, because you can deploy any HuggingFace ID rather than only catalog models. And it wins when isolation requirements are strict. It loses on spiky, low-volume traffic: paying for GPU hours to serve a handful of daily requests makes no sense, and the EU Inference Router serves that pattern per token from shared warm capacity. Since both draw from one prepaid balance and expose the same API, switching shapes later is a config change, not a migration.
| Situation | Recommended shape |
|---|---|
| Steady production traffic all day | Dedicated instance |
| Fine-tuned or custom model | Dedicated instance |
| Strict isolation requirements | Dedicated instance |
| A few hundred requests per day, bursty | Shared Router |
| Prototyping and model comparison | Shared Router or Playground |
| Office-hours internal tool | Dedicated instance with idle-down |
How to start
Choose a model in the Model Garden, deploy one of the dedicated GPU instances, and point your existing OpenAI client at it:
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://hostyourai.com/api/v1",
apiKey: "hyai-your-key",
});
const res = await client.chat.completions.create({
model: "llama-3.1-8b",
messages: [{ role: "user", content: "Give me three signs a workload has outgrown shared inference." }],
});
console.log(res.choices[0].message.content);Hourly rates draw from your prepaid credit balance; see the pricing page for how top-ups with iDEAL, card and SEPA work.
Questions about dedicated GPU hosting
What exactly is dedicated to me?
The GPU, the vLLM process and the instance API key. No other customer's traffic runs on your hardware, which is why latency stays predictable under your own load.
Can I run a fine-tuned model?
Yes. Deploy any HuggingFace model ID, including your own fine-tunes. The VRAM floor check ensures the GPU you pick is large enough before deployment starts.
Is dedicated always faster than the Router?
Not always. A warm Router model can respond just as quickly. Dedicated wins on consistency: nobody else's traffic can ever degrade your endpoint.
What does idle-down mean for costs?
When your instance receives no traffic for a while, it idles down and hourly billing pauses, then resumes when requests return. Quiet nights stop costing money.
Can I combine dedicated hosting with RAG?
Yes. Link a knowledge base to your instance and relevant context is injected into chat completions automatically. The guide Build RAG on EU GPUs shows the setup.
Where do the GPUs physically run?
In European datacenters across multiple European regions. HostYourAI never uses customer data for training and backs the service with a 99.9% uptime SLA.
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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