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Ollama cloud alternative
The same open models you run locally in Ollama, delivered as a hosted API on European GPUs: no GPU management, and an SLA instead of a laptop.
Ollama might be the nicest way to work with open models locally: one command and Llama or Qwen runs on your own machine. For prototypes, privacy-sensitive experiments and offline work there is little better. But then the prototype works, and the question every builder knows arrives: how do I get this into production?
For production you want a hosted, OpenAI-compatible endpoint that is reachable day and night, without managing GPUs yourself. HostYourAI is exactly that, with a bonus the American alternatives do not offer: everything runs on GPUs in European data centers, under European law.
Where Ollama stops and hosting starts
The moment your laptop lid closes, your API is down. A 70B model does not fit in the average consumer GPU. And renting and managing a server with serious GPUs yourself is a second job: drivers, CUDA versions, monitoring, failover. For a demo that is overkill, but once customers depend on your API you want an SLA (ours is 99.9%) instead of an ssh session at three in the morning.
EU Inference Router
‹ Insight 1 of 28 ›From localhost to production in three steps
Ollama already speaks the OpenAI format locally, so your code is essentially ready.
- Create an API key. Register, top up your prepaid balance (iDEAL works too) and generate a hyai key in the dashboard.
- Swap your base_url. From http://localhost:11434/v1 to https://hostyourai.com/api/v1.
- Pick your model. Find the hosted variant of the model you ran locally in the model catalog and test it in the Playground.
from openai import OpenAI
# Local with Ollama:
# client = OpenAI(base_url="http://localhost:11434/v1", api_key="ollama")
# Production on European GPUs:
client = OpenAI(
base_url="https://hostyourai.com/api/v1",
api_key="hyai-...",
)
response = client.chat.completions.create(
model="llama-3.3-70b",
messages=[{"role": "user", "content": "Hello from production."}],
)Prefer the Anthropic SDK? That works too: there is a /v1/messages endpoint with x-api-key authentication.
The same open models, heavier hardware
The catalog contains the model families you know from Ollama: Llama, Qwen, Mistral, DeepSeek, Gemma. There is one difference. Locally you usually run quantized GGUF variants because VRAM is tight; our GPUs serve the full weights through vLLM. In practice that often means noticeably better quality than the "same" model on your laptop, plus room for the large variants that simply do not fit locally.
The EU bonus
The biggest difference with US hosted-Ollama-style services is jurisdiction. HostYourAI is a Dutch company, there is no US cloud in the chain and we never train on your data. A data processing agreement is ready to sign and data is encrypted with AES-256. Why that matters for European teams is covered on our AI compliance in Europe and AI data sovereignty pages.
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 an Ollama cloud alternative
Can I run the same models as in Ollama?
Mostly, yes. The well-known open families (Llama, Qwen, Mistral, DeepSeek, Gemma) are in the catalog. We serve the full HF weights through vLLM rather than quantized GGUF files, so quality tends to be better than what you ran locally.
Do I have to rewrite my code?
No. Ollama and HostYourAI both speak the OpenAI format. You swap the base_url and the API key, and your existing code, LangChain chains and tools keep working.
Can I keep using Ollama locally for development?
Yes, and it is a solid setup: Ollama locally for fast iteration, HostYourAI in production. Make the base_url an environment variable and you switch without touching code.
What does it cost?
You pay prepaid per use, with no subscription, and topping up works with iDEAL as well. See the pricing page for current rates.
Can I run a model that is not in the catalog?
Yes. On a dedicated GPU instance you deploy a model yourself with vLLM, also within the EU. Useful for your own fine-tunes or niche models.
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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