A city fountain-show booking chatbot is used all afternoon from testers’ laptops for GenAI-assisted case drafting. Where does that usage increase load and energy use?
Select an answer to reveal the explanation.
Short Explanation
The energy story is not just “the chip in the cloud.” Afternoon chatbot use loads testers’ devices, the networks in between, and the data centers that host the model. All three raise energy use together.
Full Explanation
Web-delivered LLM usage in testing increases load across devices, networks, and data centers, which raises energy consumption. Focusing only on a single accelerator or ignoring the delivery path understates the environmental footprint. Testers should understand that everyday GenAI sessions stress the full stack.