Why local inference?
Prompts and documents often contain a company's most sensitive information. Local or EU-hosted inference keeps this data under your control and makes statements to data protection officers, works councils and customers credible.
Enterprise AI
AI Infrastructurelocal & sovereign.
Anyone processing confidential data with AI needs control over models and infrastructure. We plan and operate local inference platforms — from model selection through GPU sizing to Kubernetes operations.
- Selection of foundation and open-source models
- GPU and hardware configuration
- Managed Kubernetes for inference workloads
- Operations in the EU or your own data center
The right model for the purpose
Not every task needs the biggest model. We evaluate open models along quality, latency and cost per request and combine them via routing — small models for routine cases, large ones for complex tasks.
Operations that scale
GPU nodes, autoscaling, quantization and batch processing determine economic viability. We size based on real load profiles and operate the platform on Kubernetes with monitoring and clear operating processes.
Häufige Fragen
Answers to the questions we are asked most often about AI Infrastructure.
Not necessarily. For many scenarios, GPU capacity from European providers is sufficient. Owning hardware pays off with consistently high utilization or strict location requirements.
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