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A comment on Accelerating Gemma 4: faster inference with multi-token prediction drafters. Parent comment

Re:Accelerating Gemma 4: faster inference with multi-token p... by lucb1e on Tuesday May 05, 2026 @04:54PM (#48028398)
Data is from https://app.electricitymaps.com/map

The difference is so big because renewables are just that much more efficient than coal and, to a lesser extent, natural gas. You can have 60% coming from renewable sources and still emit 400g/kWh with a coal and gas mix, whereas all hydro is 24g/kWh according to that source. The production component is what makes renewables not completely emission-free

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Re:Accelerating Gemma 4: faster inference with multi-token p... by 332451b on Tuesday May 05, 2026 @07:25PM (#48030113)
I'm curious how you got the energy consumption for 8 hours of use.

I would imagine there's a huge spread there too. Depending on hardware, size of the model, requests being batched and queued rather than occupying a whole GPU or TPU, or if you are running an agent loop for 8 hours straight or spend most of the time reviewing results.

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