Model as a Service
A business model in which cloud providers offer pre-trained large models through APIs. Developers can invoke inference capabilities without building their own models and pay according to usage, which commoditizes underlying model capabilities.
Timeline (last 90 days)
The cost of the model-as-a-service approach is vendor dependency and an API call fee incurred for every inference.
For independent developers and small teams, renting intelligence is the optimal approach during early validation stages; self-hosting or fine-tuning private models only needs to be considered once scale has grown to a certain point.
All Facts (2)
The cost of the model-as-a-service approach is vendor dependency and an API call fee incurred for every inference.
50%UnverifiedFor independent developers and small teams, renting intelligence is the optimal approach during early validation stages; self-hosting or fine-tuning private models only needs to be considered once scale has grown to a certain point.
50%