Deployment Targets (Cloud → Air-Gapped)

Where will it actually run? The tradeoffs across SaaS, the customer’s cloud/VPC, on-prem, and air-gapped — and what each costs you.

The four targets

Your SaaS (multi-tenant)
Fastest to ship + update. Blocked when data can’t leave the customer’s network.
Customer cloud / VPC
Runs in their account. You get cloud tooling but their network + IAM rules.
On-prem
Their hardware/datacenter. You manage installs + updates; no managed services.
Air-gapped
No internet at all. Everything (models, deps, images) ships in by hand. Hardest.

What changes as you move right

Data egress
SaaS: leaves. VPC: stays in their account. On-prem/air-gap: never leaves.
Updates
SaaS: you push anytime. Air-gap: scheduled, manual, versioned bundles.
Model hosting
Cloud APIs fine on SaaS/VPC; on-prem/air-gap → self-host an open model (vLLM etc.).
Secrets
Their vault, their KMS, their rotation policy — not your .env.
Observability
Your dashboards on SaaS; on-prem you ship logs to their stack or a local one.
Your access
Full on SaaS; on-prem you may get a screen-share and someone else’s hands.

De-risk early

Ask in discovery
“Where can this run, and who approves it?” — it reshapes the whole architecture.
Package portably
Containerize; avoid a single cloud’s managed-only services if on-prem is possible.
Plan the update path
How do you ship v2 to an air-gapped site? Decide before v1.
Least privilege
Request the minimum access; security says yes faster to a small ask.

Cost, effort & pricing

Effort ramp
Each step right roughly multiplies deployment + support effort: SaaS ≪ VPC < on-prem ≪ air-gapped.
Who pays for compute
SaaS: you (bake into price). VPC/on-prem: the customer’s cloud/hardware bill — price the software, not the infra.
Support model
SaaS: you see everything and fix fast. On-prem/air-gap: you debug blind through their team — budget for it.
Price the friction
Air-gapped and on-prem deals should carry a premium — they cost far more to deliver and maintain.
GPU reality
Self-hosting an open model on-prem means sizing, buying, and babysitting GPUs — a real project, not a checkbox.