Self-Hosted AI Servers | MAEK Infra Consulting

We stand up your own private AI infrastructure — running an open model via Ollama, connecting to Claude, or whichever model you choose — so you get the benefit of AI tooling without sending your company's data to a third party you don't control.

What's included

Hardware and resource sizing based on your intended workload
Deployment of Ollama with an open-weight model of your choice
Alternative: secure integration with Claude or another hosted model, on your terms
Access controls so only your team can reach the server
Ongoing model and dependency updates
Guidance on which approach (fully local vs. API-based) fits your data sensitivity

Model options

Open-weight models via Ollama (fully local), Claude via API, or a model of your choosing — you decide the trade-off between capability and data locality.

Why it matters

Plenty of AI tools ask you to send your internal documents, code, or customer data to a third-party vendor's servers. A self-hosted AI server keeps that data under your control — whether that means a fully local open model, or a more capable hosted model accessed through infrastructure you own.

Get a free assessment

How it runs

Five steps, start to handover

Assess

Audit current setup, costs, and risk.

Plan

Fixed-scope plan with a flat-rate quote.

Migrate

Risk-mitigated delivery, fully remote.

Verify

Validation and performance checks.

Handover

Documentation and automation left in place.