Licensed to be used in conjunction with basebox, only.
// installation
Installation paths
Applies to
Product: Server · Audience: Platform Operator
Starting from bare metal vs. starting with an existing Kubernetes cluster; what each path requires and where both converge. Plus two cross-cutting decisions that come up on both paths: evaluation or production, and bundled or external inference.
The two paths
flowchart LR
subgraph BM["Path A: from bare metal"]
OS["Operating system<br/>Ubuntu 24.04 LTS"] --> NV["NVIDIA driver<br/>CUDA · container toolkit"] --> K8S["Kubernetes<br/>GPU Operator · ingress · storage · CNPG"]
end
subgraph EX["Path B: existing Kubernetes"]
REQ["Cluster meets the<br/>chart requirements"]
end
K8S --> HELM["basebox via Helm<br/>umbrella chart basebox.ai"]
REQ --> HELM
HELM --> MODEL["Choose and<br/>connect a model"] --> VAL["Validate installation"]
style HELM fill:#dcefe2,stroke:#3a7a49,color:#1d1e1c
| Path A: from bare metal | Path B: existing Kubernetes | |
|---|---|---|
| Starting point | An empty server (or several) | A cluster you already operate |
| You install | Operating system, NVIDIA stack, Kubernetes, cluster components, then basebox | Only basebox – after checking the requirements |
| Guide | Bare-metal installation with Prepare the server | Existing cluster: requirements, then from step 7 |
| Typical for | Reference configurations, FAST LTA systems, dedicated appliance | Organisations with a Kubernetes platform and GPU nodes |
| Duration | Hours to a day including OS and drivers | Under an hour if the requirements are met |
Both paths converge at helm upgrade --install basebox oci://gitea.basebox.health/basebox-distribution/helm/basebox.ai. From there on everything is identical.
Path A: from bare metal
The end-to-end path, step by step: Requirements → Prepare the server (operating system and base system) → NVIDIA / GPU → Kubernetes → Storage → Networking → Install basebox → Deploy service models → Connect inference → Validate installation.
Verified with Ubuntu 24.04 LTS, NVIDIA driver 580.126.09, CUDA 13.0, Kubernetes 1.33.7, Helm 3.20.0 (February 2026).
Path B: existing Kubernetes
The cluster must meet what the chart requires: Kubernetes 1.23+, Helm 3.x, a default storage class, an ingress controller with a TLS path, the CloudNativePG operator, the GPU Operator on the GPU nodes, and registry access. The full list, check commands and which steps you skip: Existing cluster: requirements. Then continue with step 7: Install basebox → Deploy service models → Connect inference → Validate installation.
Cross-cutting decision 1: evaluation or production
| Local quick start | Production installation | |
|---|---|---|
| Hostname | basebox.local |
Your domain |
| TLS | Local, self-signed (global.tls.mode=local) |
cert-manager or existing secret |
| Purpose | Demonstration, validation, first local installation | Production |
| Guide | Local quick start | Using Helm charts |
The quick start is explicitly not intended for production.
Cross-cutting decision 2: bundled or external inference
| Bundled | External | |
|---|---|---|
| What | The chart deploys inference (vLLM) on the same cluster |
inference.enabled: false; AISRV talks to a separate OpenAI-compatible endpoint |
| When | Single-node reference configurations | Separate GPU host, other cluster, other security zone; CPU-only application server |
| Guide | Connect inference | Deployment topologies with a proven vLLM example |
In both cases users talk only to the platform, never directly to inference.
Air-gapped environments
Without internet access, both paths need an offline transfer of container images and model artefacts (internal image mirror, pre-loaded models with HF_HUB_OFFLINE=1). Agree the procedure with support@basebox.ai. What works in air-gapped operation and what does not: Air-gapped environments.
What follows the installation on both paths
- Get credentials from
basebox-admin-secretandkeycloak-admin-secret. - Smoke checks: pods
Running, bootstrap job complete, GraphQL responds, login in the browser. - Check the model – inference reachable, model identifier matches
/v1/models. - Acceptance following Validate installation: chat, RAG, OCR, STT once each, reboot test.
- Handover to the administrators – from now on the application is set up under Administer.
Next step: Bare-metal installation (path A) or Existing cluster: requirements (path B)