Flexible GPU server rental without long-term commitments.
Renting a bare GPU is only step one; you still have to turn it into something that answers requests. HostYourAI rents GPU capacity by the hour that arrives ready for LLM serving: vLLM comes configured, the deploy enforces a VRAM floor so the card is never too small for your model, and the instance idles down when traffic goes quiet. You pay from a prepaid credit balance topped up with iDEAL, card or SEPA.
All capacity sits in European datacenters, which keeps rented compute compatible with EU data rules from day one instead of being something to fix later.
If your users are in Europe, a round trip to a US region adds distance you cannot optimise away. Renting GPUs in multiple European regions keeps the network path short and makes streaming responses feel immediate.
Rented compute processes whatever you send it, and under GDPR that processing has a location. EU-based GPUs, together with a DPA, AES-256 at rest, TLS in transit and no training on customer data, mean your compliance story does not depend on transfer mechanisms.
Per-hour billing from a prepaid balance sets a natural ceiling on spend: the balance is the budget. Idle-down means an instance that receives no requests stops burning credits, which removes the classic cloud failure mode of the forgotten GPU. Details on the pricing page.
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!"}])
The whole point of purpose-built rental is that the distance between renting and serving is minutes, not days. You choose a model in the Model Garden or paste a HuggingFace ID, the platform checks the VRAM floor, provisions a GPU in a European region, starts vLLM with an encrypted API key generated for that instance, and hands you an OpenAI-compatible endpoint. This table is the entire process:
| Step | What happens |
|---|---|
| 1. Pick a model | Catalog model or any HuggingFace ID |
| 2. VRAM check | Deploy is blocked if the GPU is too small for the model |
| 3. Provisioning | GPU allocated in a European region, vLLM configured |
| 4. Key issued | Instance gets its own encrypted API key |
| 5. Endpoint live | OpenAI-compatible chat completions with SSE streaming |
| 6. Quiet period | Instance idles down, hourly billing pauses |
The full walkthrough is in Deploy your own LLM with vLLM.
Once your instance reports ready, it speaks the same protocol as every other endpoint on the platform. A minimal JavaScript client:
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: "gemma-3-27b",
messages: [{ role: "user", content: "Write a short status update for a deploy that just went live." }],
stream: false,
});
console.log(res.choices[0].message.content);
If you only need occasional capacity rather than your own GPU, the EU Inference Router offers the same models per token.
The GPU class you rent follows from the model you want to serve. These are the practical pairings; the deploy flow enforces a VRAM floor, so an undersized combination is rejected automatically.
| GPU class | VRAM | What runs comfortably |
|---|---|---|
| H100 class | 80 GB HBM3 | 70B models such as Llama 70B or DeepSeek R1 Distill Llama 70B (quantized on one card, full precision across two), plus high-throughput serving of mid-size models |
| A100 80 GB class | 80 GB | 30B to 40B models at full precision, 70B models quantized, long-context workloads |
| A100 40 GB class | 40 GB | 7B to 14B models such as Mistral 7B, Llama 8B or Qwen 14B, with room for context |
| L40S class | 48 GB | Mid-size models up to roughly 30B, plus embedding and vision workloads |
For an always-on production endpoint, see dedicated GPU hosting. If you care about the serving stack itself, vLLM hosting in Europe explains how instances are configured.
If you are wondering where to rent a dedicated H100 GPU server in Europe, you can do it directly on HostYourAI. Pick a model, and the platform provisions an H100 class instance in a European datacenter with vLLM preconfigured and an OpenAI-compatible endpoint. You pay per hour from a prepaid balance and can stop anytime, with no long-term contract. Details are on the dedicated GPU hosting page.
No, and that is deliberate. You rent serving capacity, not a raw machine: vLLM, networking and keys are managed for you, and you interact through the API endpoint.
Provisioning is automated and typically completes in minutes. Popular catalog models can also be used instantly via the shared Router while your instance spins up.
You cannot. The deploy enforces a VRAM floor based on the model, so undersized combinations are rejected before any hour is billed.
When no requests arrive for a while, the instance idles down and hourly charges pause. It resumes serving when traffic returns, which suits internal tools with office-hours usage.
You top up a prepaid credit balance with iDEAL, card or SEPA. Both hourly instance rental and per-token Router usage draw from that same balance.
Yes. Link a knowledge base to your instance and relevant context is injected into completions automatically. See Build RAG on EU GPUs.
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.
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.
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 freeYes. 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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