What does a local AI server cost?

Start with a transparent fixed price? The AI Cube Pro costs EUR 5,999 excluding VAT and includes hardware, local AI platform, an agreed model, hardening, initial setup, and five hours of support. Explore scope and configuration

The cost of a local AI server only becomes meaningful when hardware, platform, integration, and operations are separated. A retail computer price is not comparable to a production-ready multi-user platform. Conversely, a large integration project is unnecessary when a preconfigured standard already covers the use case.

Cost overview for getting started

This provides a defined entry price. Total cost then depends on whether the built-in Open WebUI capabilities are sufficient or whether integrations and ongoing operations are required.

Four cost blocks

1. Hardware and base system

Available memory, memory bandwidth, and expected throughput determine the hardware class for local language models. Storage, network, and possibly redundancy add to it. A compact starting point may use one system; larger models or high concurrency require more systems or dedicated GPU servers.

2. AI platform setup

Production setup includes operating system, drivers, model runtime, user interface, model, identity, network, hardening, and functional testing. Organisations that build this internally should price the time and long-term knowledge required.

3. Workflow integration

Uploading documents manually to a knowledge interface is different from a continuously synchronised RAG pipeline. Nextcloud, SharePoint, DMS, or professional-software interfaces, source permissions, middleware, and automation depend on the project.

4. Ongoing operations

Updates, security review, monitoring, backup, recovery, model changes, and support remain throughout the lifecycle. They can be handled internally or through a managed service.

Concrete starting point: AI Cube Pro

The AI Cube Pro costs EUR 5,999 excluding VAT. It includes:

• hardware with 128 GB unified memory;
• Open WebUI and a local model runtime;
• a local model agreed, installed, and tested in advance;
• base setup, hardening, and functional testing;
• initial setup and five hours of support.

The system is usually ready within two weeks after configuration approval. Personal delivery and setup within Germany can be arranged.

What is scoped separately

• automated knowledge sources and custom RAG pipelines;
• PMS, DATEV, DMS, Nextcloud, or SharePoint connections;
• custom APIs, middleware, workflows, and MCP servers;
• VPN, NetBird, reverse proxies, or site connectivity;
• high availability, clusters, and larger GPU systems;
• ongoing operations and agreed service levels.

Optional managed operations start at EUR 149.90 excluding VAT per AI Cube and month. Scope and response model are agreed separately.

Compare three years, not the purchase price

Use equal assumptions for both paths:

Local platform: acquisition + setup + integration + 36 months of power and operations + replacement risk.

Cloud platform: 36 months of user licences or API consumption + integrations + administration + paid controls and regions.

Non-financial factors also matter: permitted data types, control over models and updates, offline operation, provider dependence, and internal operating effort.

When standard hardware is not enough

The AI Cube Pro is intended for organisations starting with local AI, testing their own workloads, and serving a defined user group. A larger deployment is appropriate when several large models run in parallel, contexts are very long, concurrency is high, or availability and redundancy need contractual commitments. WZ-IT then sizes AI Cube Custom or GPU servers from measured load rather than a model-name assumption.

The guide to sizing a local AI server by user load explains how account count, concurrency, and response length become a reproducible load profile.

Sources and further reading

• NVIDIA: DGX Spark hardware with 128 GB unified memory
• WZ-IT: sizing GPU and VRAM for LLMs
• WZ-IT: cloud AI vs. self-hosted