Included in open-source knowledge introductions. Next technical read: Self-hosted AI, Kubernetes & IaC best practices—it ties inference paths, platform guardrails, and IaC reviews together.
Models are not the whole stack
Self-hosting buys control only when deployments, secrets, networking, observability, and ownership are explicit. Otherwise you swap vendor opacity for operational debt: undocumented Helm overrides, drifted clusters, unowned dashboards.
Split inference from experimentation
Serving latency SLAs differ from batch evaluation jobs. Separate paths early—network placement, quotas, cost attribution—so finance and engineering argue about numbers that actually exist.
Where we plug in
- Open-source AI infrastructure — model serving boundaries aligned with your compliance posture.
- Kubernetes platform engineering — GitOps, namespaces, upgrades that teams can explain.
- Terraform / OpenTofu infrastructure — environment parity and reviewable infrastructure changes.
Related introductions
Retrieval stacks often sit beside hosted inference—RAG & retrieval. SSO and collaboration boundaries frequently intersect platform work—Digital sovereignty & SSO.
Trademark notice
Names used for orientation only.
Make AI infrastructure predictable
We align model posture, platform baselines, and IaC with your compliance reality.
