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Operate

Applies to

Product: Cloud · Server · Audience: Platform Operator · Administrator

This section answers one question: I have this infrastructure – how do I install and operate basebox on it correctly?

It is written for Platform Operators and DevOps. Which hardware you need for how many users and models is summarised in Sizing. API tutorials are under Develop → API.

Start here

  1. Understand the architecture – basebox platform, service models and inference are three separate layers with very different resource needs.
  2. Deployment models – Cloud and Server, the Cloud transition phase until November 2026, and why a customer server hosted at basebox is still Server.
  3. basebox components – the services an installation consists of and how they talk to each other.
  4. Responsibilities – who does what in self-managed vs. basebox-operated setups.

Then choose your product.

basebox Cloud

basebox operates the infrastructure; you administer the application. The Cloud part of this section is for your IT: what your environment contains, how users and your systems reach it and how you go live: basebox Cloud (operated by basebox).

basebox Server

A server for your organisation alone – at your site or at basebox, operated by you or by basebox. The Server part is the main part of this section:

Section Content
Plan the server Server architecture & topologies, hardware, hosting, operating and installation-path decisions, Sizing, Reference configurations
Install the server Path A: the end-to-end path in ten steps from an empty server to a validated installation · Path B: Existing cluster · Local quick start
Models & inference Inference architecture, backends, configuration, tested and recommended models, benchmarks
Operate the server Monitoring, logging, backup, updates, scaling, troubleshooting
Advanced architectures Multi-GPU, dedicated service GPU, multiple inference instances, multi-node
Reference Helm chart and services, using Helm charts, Keycloak LDAP

Three things to know before anything else

basebox itself needs little GPU. A server's GPUs serve the service models (RAG, OCR, speech-to-text) and inference (the language model). A sentence like "basebox needs two H200s" describes inference, not the platform.

A server at basebox is Server, not Cloud. Hardware source, location and operation are properties of a server, not products. This documentation describes every server deployment along exactly these dimensions.

Buying the software does not include operations. Who operates the server – you or basebox – is a separate agreement. The table: Responsibilities.

Next step: Understand the architecture · Sizing