The on-premise vs cloud decision is rarely about technology alone — it is about who controls the data, how predictable the cost must be, and how regulated the workload is. Here is the framework.
Decision dimensions
| On-premise | Cloud | |
|---|---|---|
| Data control | Full, in-house | Provider-managed |
| Upfront cost | High (capex) | None (opex) |
| Cost at high use | Lower | Higher |
| Scalability | Fixed capacity | Elastic |
| Compliance | Easier for residency | Depends on region |
| Time to start | Weeks | Minutes |
The hybrid middle ground
Most regulated enterprises keep sensitive inference and customer data on-premise while bursting training or non-sensitive workloads to the cloud. This captures data control where it matters and elasticity where it does not.
Frequently asked questions
When does on-premise make sense?
Strict data residency/privacy, sustained high use, low-latency needs, predictable cost.