BrainOutput
English

Runs on a private AI box you own

One compact GB10-class device — 128 GB unified memory — runs it on-premise, sold and provisioned by us. No cloud API keys, no data leaving the building.

ASUS Ascent GX10 — GB10-class sovereign AI device on a desk (official ASUS image)
ASUS Ascent GX10from €3 650,22 HT
Dell Pro Max with GB10 — GB10-class sovereign AI device (official Dell image)
Dell Pro Max with GB10from €4 328,25 HT

All private-AI-box apps

Run Aider on a private AI box

License: Apache-2.0

A terminal pair-programmer that edits your code and makes git commits as it goes — driven by a model on your own hardware.

What it is

  • An open-source CLI that pairs with you on an existing git repository.
  • Applies edits as commits, so every change is reviewable in your history.
  • Uses LiteLLM under the hood, so any OpenAI-compatible endpoint works.

Aider is an independent project. BrainOutput has no affiliation, endorsement, or partnership with it — we sell the private hardware you can run it on. Project: Aider.

Cloud API keys vs your private box

The tool is the same either way. What changes is where your prompts and files go, and how you pay.

Cloud API keysYour private box
Data locationPrompts and files are sent to a third-party APIEverything stays on hardware in your office
Cost modelMetered per token — scales with usage, indefinitelyA fixed hardware cost — local inference is unmetered
AvailabilityVendor uptime, rate limits, and model retirements applyRuns offline; you control uptime and model versions
EU complianceData-transfer and processor terms to manage per vendorEU hardware on your premises — sovereignty is physical, not contractual
Model choiceWhatever the vendor exposesAny open-weight model that fits the box — swap freely

Indicative hardware start prices are €3 650,22 HT (ASUS) / €4 328,25 HT (Dell); the full sovereign setup is sur devis.

How it connects to your box

Because Aider routes through LiteLLM, you point it at a local server with a base-URL setting.

  • Set OPENAI_API_BASE (or the equivalent flag) to your box's OpenAI-compatible endpoint.
  • Name the local model — Aider then plans, edits, and commits against it, offline.

How BrainOutput fits

  • We deliver the device and a coder-grade local model for Aider to pair with.
  • Your repository and commits stay entirely on your own machine.

Frequently asked questions

Can Aider use a local model?
Yes — it uses LiteLLM, so setting the OpenAI-compatible base URL to your box makes it run against a local model with no cloud call.
Will it touch my git history safely?
Aider makes each change as a commit, so everything it does is visible and revertible in your own repository.
What license is it under?
Apache-2.0, verified against its repository.

Run it on a box we set up for you

We size the device, install an OpenAI-compatible model stack, and hand you the endpoint this app points at. The app stays free and yours.