Consumer-facing eco-feedback system, model, and interface for reducing large-scale ai carbon emissions and energy use

A method for reducing carbon emissions associated with internet services, comprising:

• receiving, by a processor, a user selection of an eco mode from a plurality of eco modes, wherein each eco mode of the plurality of eco modes is associated with a distinct latency profile and a corresponding carbon emission reduction;
• configuring, by the processor, at least one carbon footprint reduction technique based on the selected eco mode;
• processing, by the processor, a user request according to the configured at least one carbon footprint reduction technique, wherein processing the user request includes applying a latency increase corresponding to the selected eco mode;
• calculating, by the processor, a carbon emission reduction associated with processing the user request according to the selected eco mode;
• and
• presenting, via an output device, an eco-feedback interface displaying the calculated carbon emission reduction to a user.

A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to:

• present an eco-feedback interface including a selection mechanism for a plurality of eco modes, wherein each eco mode of the plurality of eco modes defines a distinct latency profile associated with a corresponding carbon emission reduction;
• receive a user selection of an eco mode from the plurality of eco modes;
• configure at least one carbon footprint reduction technique based on the selected eco mode, wherein the at least one carbon footprint reduction technique adjusts at least one of data center routing, batch processing parameters, or request parallelism settings;
• process a user request according to the configured at least one carbon footprint reduction technique;
• calculate a carbon emission reduction associated with processing the user request according to the selected eco mode;
• and
• display the calculated carbon emission reduction in the eco-feedback interface.