EuroModel Hub
EU-hosted · GDPR-compliant · Framework-agnostic

Deploy AI models
where your data stays yours.

EuroModel Hub is the European platform to deploy, serve, manage, and scale AI models — with data residency baked into the infrastructure. No US hyperscaler lock-in, no legal gray zones. Push a model, get an endpoint, keep everything inside the EU.

< 5 min
From upload to live endpoint
100% EU
Data residency, by default
Pay per use
No reserved capacity to buy
endpoint live · eu-west-1
deploy · mistral-eu-7b
$ euromodel deploy ./model
✔ Uploading weights (2.4 GB) …
✔ Selecting GPU profile · A10 (eu-west-1)
✔ Provisioning endpoint · https://api.euromodelhub.ai
  /v1/models/mistral-eu-7b
✔ Attaching autoscale policy (2 → 8 replicas)
✔ Enabling usage analytics & cost caps

endpoint:  https://api.euromodelhub.ai/v1
region:    eu-west-1 (Frankfurt)
latency:   42ms p50 · 88ms p99
status:    serving
Requests / min
1,284
GPU util
63%
Cost today
€4.10
GDPR Article 28 processor terms Data never leaves EU jurisdiction GPU autoscaling, billed per second ISO 27001-aligned controls
The platform

Everything you need to run models in production. Nothing you don't.

We built EuroModel Hub for teams shipping real AI workloads — not demos. Each capability is here because it removes a concrete piece of operational pain.

Deploy in minutes, not sprints

Push a model from your repo or notebook and get a versioned HTTPS endpoint. No Kubernetes YAML, no inference server boilerplate — we generate the serving container and the autoscaler for you.

  • One-command deploys from CLI or web
  • Blue/green rollouts & instant rollback
  • Git-connected model registry

Analytics that actually explain cost

Per-model dashboards for latency, throughput, error rate, GPU utilization, and spend. See which model is burning budget and why — broken down by team, project, and environment.

  • p50/p95/p99 latency & tokens/sec
  • Cost per 1k requests, per model
  • Budget caps & anomaly alerts

Framework-agnostic by design

PyTorch, TensorFlow, ONNX, or a custom container you built yourself. We don't lock you into a runtime — bring the stack your team already trusts.

  • PyTorch · TensorFlow · ONNX · JAX
  • Custom Docker images supported
  • Hugging Face-compatible API

Autoscaling, billed per second

Scale to zero when traffic stops, scale to dozens of replicas when it spikes. You pay for GPU seconds actually used — not for capacity you reserved in hope.

  • Scale-to-zero with warm pools
  • Concurrency & queue-based autoscaling
  • No reserved-instance commitment

Teams, not just API keys

Workspaces, roles, and scoped tokens. Share a model with product, give finance a read-only cost view, and keep prod access to the platform team.

  • SSO/SAML & SCIM provisioning
  • Role-based access per workspace
  • Audit log for every deploy & call

EU residency is the default, not an add-on

Your model weights, prompts, and logs live in EU data centers under EU law. No US data flows, no Patriot Act exposure, no surprise sub-processor in a third country.

  • Frankfurt & Dublin regions
  • GDPR Article 28 processor terms
  • DPA, SCCs & sub-processor list
How it works

Deploy → Manage → Scale.

Three steps, end to end. The boring parts of running inference in production are the parts we took off your plate.

  1. 01

    Deploy

    Connect a repo or upload weights, pick a GPU profile, and we generate the serving container, the HTTPS endpoint, and an API key. Your model is live before the standup ends.

    $ euromodel deploy ./model --gpu A10 --region eu-west-1
  2. 02

    Manage

    Watch latency, throughput, errors, and spend on per-model dashboards. Roll out new versions with blue/green, roll back in one click, and set budget caps so a runaway loop can't drain your quarter.

    version v1.4.2 → v1.5.0 · traffic 10% → 100%
  3. 03

    Scale

    Autoscaling handles traffic spikes and goes to zero when idle. You pay for GPU seconds used, not for capacity you guessed at. Add regions, add replicas, add teams — without re-architecting.

    replicas 2 → 14 → 0 · billed per second

The wedge: your AI runs under EU law.

US hyperscalers treat EU data residency as a region toggle. We treat it as the architecture. For any team shipping AI to EU customers — finance, health, public sector — that difference is the difference between a launch and a legal review.

Data stays in the EU

Model weights, prompts, responses, and logs are processed and stored in Frankfurt and Dublin. No transatlantic replication, no US-region fallback.

GDPR by construction

We act as a processor under Article 28 with signed DPAs, documented sub-processors, and a lawful-basis framework you can hand to your DPO.

No third-country exposure

No US parent, no US staff with production access, no Cloud Act or Patriot Act surface. Your data isn't subject to foreign government requests.

Audit-ready by default

Immutable audit logs for every deploy, key, and API call. Export to your SIEM. SOC 2 and ISO 27001-aligned controls, with EU-based assessors.

What your DPO gets on day one

Everything a privacy team asks for, available before you sign — not after a six-month security review.

Request the compliance pack
  • Signed DPA on day one
  • EU-based sub-processors only
  • Right-to-audit clauses
  • Data deletion on termination
  • Encryption at rest & in transit (EU KMS)
  • No training on your data — ever
Frameworks

Bring the stack your team already trusts.

We don't make you rewrite your model to fit our runtime. If it runs in a container, it runs on EuroModel Hub — with the same observability and autoscaling as our first-class runtimes.

PyTorch

TorchServe & vLLM-backed runtimes. Bring .pt or safetensors.

TensorFlow

SavedModel & TF-Serving. TFLite for edge deployments.

ONNX

ONNX Runtime with hardware exec providers. Cross-framework.

JAX

JAX/Flax models with XLA compilation on EU GPUs.

Custom container

Bring your own Docker image. We run it, scale it, observe it.

Hugging Face

Pull directly from the Hub. transformers-compatible API.

Plans

Pricing that scales with usage, not seats.

Start metered, move to a committed plan when you know your traffic. Every plan runs on the same EU infrastructure — the difference is capacity, support, and the compliance paperwork we hand you.

Starter

For a team shipping its first model to EU customers.

Pay per use
from €0.08 / GPU-minute · billed by the second
Start building
  • Up to 3 deployed models
  • Shared GPU pool (A10)
  • Scale to zero
  • Usage & cost analytics
  • Community support
Most popular

Team

For product teams running AI in production.

From €1,200 / mo
plus metered GPU usage · annual commit
Request access
  • Unlimited models & endpoints
  • Dedicated GPU profiles (A10, A100)
  • SSO/SAML, roles & audit log
  • Blue/green deploys & rollback
  • Budget caps & anomaly alerts
  • Priority EU-based support

Enterprise

For regulated industries & public sector.

Contact us
custom · DPA, SCCs, region pinning
Talk to us
  • Single-tenant & on-prem options
  • Region pinning (Frankfurt/Dublin)
  • Custom DPA & right-to-audit
  • Dedicated support engineer
  • 99.9% SLA

All plans include EU data residency, GDPR Article 28 terms, and encryption at rest and in transit. No US data flows.

Deploy your first model in the EU.

Tell us what you're building. We'll set up your workspace, sign a DPA, and have an endpoint live before your next sprint planning — all inside the EU.

We respond within one EU business day.