| Decision axis | SelbsAI ServerOwned | Hosted cloud AI |
|---|---|---|
| 01Ownership modelWho controls it | ✓ You own the hardware path and operating boundary. | – You rent model access from a provider. |
| 02Physical systemWhat you own | ✓ A complete server contains its own compute, memory, encrypted storage, runtime, and model stack. | – The runtime and model stack live in infrastructure you do not possess. |
| 03PortabilityWhere it goes | ✓ Compact enough to move between offices, while stable enough to run as a dedicated network appliance. | – Available anywhere with an account and a suitable internet connection. |
| 04Privacy boundaryWhere work happens | ✓ Default inference stays on the device. | – Data path depends on vendor and product configuration. |
| 05Recurring spendCost shape | ✓ Higher upfront cost, lower rent pressure over time. | – Lower upfront cost, recurring spend scales with usage. |
| 06Latency and controlOperational feel | ✓ Designed around your files and your environment. | – Designed around provider infrastructure and service policy. |
| 07Best fitWhen to choose it | ✓ Sensitive, repeated, internal and workflow-heavy use. | – Bursty, experimental or frontier-only use. |
Ownership model
You own the hardware path and operating boundary.
You rent model access from a provider.
Physical system
A complete server contains its own compute, memory, encrypted storage, runtime, and model stack.
The runtime and model stack live in infrastructure you do not possess.
Portability
Compact enough to move between offices, while stable enough to run as a dedicated network appliance.
Available anywhere with an account and a suitable internet connection.
Privacy boundary
Default inference stays on the device.
Data path depends on vendor and product configuration.
Recurring spend
Higher upfront cost, lower rent pressure over time.
Lower upfront cost, recurring spend scales with usage.
Latency and control
Designed around your files and your environment.
Designed around provider infrastructure and service policy.
Best fit
Sensitive, repeated, internal and workflow-heavy use.
Bursty, experimental or frontier-only use.
The decision rule
If the work is sensitive, repeated, document-heavy, and strategically important, local ownership becomes stronger very quickly. If the work is sporadic, non-sensitive, or depends on frontier-only capability, hosted APIs may still be the better fit.
- ●Buy local when privacy and repetition dominate.
- ●Use cloud when variability and experimentation dominate.
- ●Use both when the workflow has a stable local core and an occasional frontier edge case.