FortaifyDeployment comparison
Local AI and cloud AI solve different constraints.
Local and cloud inference can look identical in a chat window while creating different operating boundaries. Compare them by data destination, model capability, hardware, availability, administration, and total responsibility.
Explore GlyphLocal inference
The model runs on a device or server you control. This can reduce external data transfer and enable disconnected work, but capacity, model updates, endpoint security, and support become your responsibility. Quality and speed depend on the selected model and hardware.
Cloud inference
A provider operates the model and infrastructure. This can provide larger models and elastic capacity with less local hardware, while prompts and supplied context travel to that provider under its technical controls and contractual terms. Availability depends on network and service health.
A mixed policy
Many teams use both. Route confidential or disconnected work to approved local models and permit specific external providers for tasks that need their capability. Document the destination in the user experience and enforce organizational restrictions before content leaves the device.