Is this a fixed stack?

No—scope follows your constraints; this page explains how the pieces fit.

Replace architecture consulting?

No—it orients delivery; architecture remains bespoke.

Experimental tooling?

Evaluation-first where maturity is unclear; no implied uptime guarantees.

Open-source self-hosted AI & platform — agency delivery

Why a practice-level page exists

Owned model serving, Kubernetes operations, and IaC each have different failure modes. This page is the umbrella for programmes that split inference vs batch, establish platform baselines, and govern environments—before narrowing to a single delivery page.

Trademark notice

Named products and brands are used for technical orientation and remain property of their respective owners. Mention does not imply endorsement, partnership, or availability guarantees for experimental software.

Where we go deeper

AI infrastructure & serving

Interfaces from data to models—see open-source AI infrastructure.

Kubernetes platform engineering

GitOps-style releases and segmentation—see Kubernetes platform engineering.

IaC for environments

Terraform/OpenTofu with reviews—see Terraform/OpenTofu infrastructure.

How we keep programmes coherent

Platform discipline—not one-off clusters

Split inference and training paths

Measurable latency and cost per lane.

Observable operations

Metrics and alerts tied to business KPIs—not only pod restarts.

Transfer or explicit ownership

Handover paths when internal teams take over steady state.

Routing quick reference

Tool-specific question

Use the open-source AI infrastructure, Kubernetes platform engineering, or Terraform/OpenTofu agency pages directly.

Full self-hosted AI & platform thread

Start here—the practice umbrella—then narrow scope in discovery.

Broader open-source delivery remit

When AI infrastructure is only part of a wider programme, open-source AI infrastructure remains the broad org-level entry.

FAQ

Is this a fixed stack?

No—scope follows your constraints; this page explains how the pieces fit.
Replace architecture consulting?

No—it orients delivery; architecture remains bespoke.
Experimental tooling?

Evaluation-first where maturity is unclear; no implied uptime guarantees.

Discuss self-hosted AI & platform delivery

Honest scoping across serving, platform, and environments.

Self-hosted AI & platform with explicit boundaries

One engagement model across inference lanes, Kubernetes baselines, and IaC-governed environments—aligned to measurable cost and compliance.