Reducing AI capex and opex before execution
Most AI cost controls occur after execution, after spend has been incurred.
One defensible option is an architectural approach that governs compute before execution, reducing both the amount of infrastructure required and the amount of work performed, without changing the model itself.
This approach is sometimes referred to internally as governed, pre-execution provisioning (G-PEP).