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.
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.
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.
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%
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
Made in Europe
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.
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.