Data residency blockers
European companies often need clearer control over where sensitive prompts, documents and embeddings are processed.
Stage 0 private discovery now open
Managed sovereign AI inference for European companies
Run private AI workloads on managed GPU infrastructure with EU data residency, predictable capacity and operational support.
Private inference endpoints
EU data residency
Dedicated GPU capacity
No training on your data
POST /v1/inference/private
region: eu-sovereign
model: llama-3.1-70b
capacity: reserved-gpu
status: production-readyEUhosting region
24/7ops model
Privatenetwork path
SLAready design
The problem
Public AI APIs are not enough for sensitive production workloads.
GPU capacity is hard
Buying, provisioning and operating GPU infrastructure is expensive, slow and distracting for product teams.
Production inference needs ops
Latency, scaling, observability, model routing and incident response matter once AI moves beyond experiments.
Solution
A managed GPU layer for private AI services.
Sovereign Compute helps teams deploy private inference endpoints, reserved GPU capacity and managed model-serving infrastructure in Europe.
01Private inference endpoints
Dedicated API endpoints for internal assistants, RAG systems and production AI features.
02Managed model serving
Deployment, routing, scaling, monitoring and operational support handled by infrastructure specialists.
03Reserved GPU capacity
Predictable capacity planning instead of relying on unstable spot availability or generic shared APIs.
04EU-first architecture
Designed around European hosting, data residency and enterprise procurement expectations.
Use cases
Built for teams moving AI from prototype to production.
Internal AI assistants
Private assistants for company knowledge, support, operations and technical teams.
Document AI
RAG pipelines for contracts, tickets, policies, reports and regulated business documents.
Customer support automation
Controlled inference for support copilots, classification, summarization and response drafting.
AI features in SaaS
Inference backend for SaaS products that need privacy, scale and predictable performance.
Trust model
Designed for enterprise conversations from day one.
EU data residencyArchitecture aligned with European customer requirements.
Isolation optionsDedicated or isolated environments depending on workload sensitivity.
No customer-data trainingInference infrastructure, not a model-training data harvesting layer.
Audit-ready operationsLogging, monitoring and operational processes prepared for enterprise review.
Who this is for
Best fit for teams with real AI demand and real constraints.
FintechLegalTechHealthcare suppliersB2B SaaSEnterprise AI teamsPublic-sector vendors
Private Stage 0 discovery
Tell us what you want to run.
We are speaking with European teams that need private AI inference, reserved GPU capacity or a managed sovereign AI deployment path.