# GPU Power Limits and LLM Inference Speed

DevFeed: [GPU Power Limits and LLM Inference Speed](<https://devfeed.tech/articles/afterburner-and-power-limit-27456.md>)

Original publisher: [Read original article](<https://ariya.io/2025/02/afterburner-and-power-limit/>)

Published: 2025-03-01T05:37:19Z

Content type: opinion

Language: en

Sources: [Ariya Hidayat](<https://devfeed.tech/sources/ariya-hidayat.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [energy](<https://devfeed.tech/tags/energy.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [heat](<https://devfeed.tech/tags/heat.md>), [llm](<https://devfeed.tech/tags/llm.md>), [performance](<https://devfeed.tech/tags/performance.md>), [speed](<https://devfeed.tech/tags/speed.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

## AI overview

The article examines GPU power limits during LLM inference. It argues that increasing power beyond roughly 250 watts does not improve speed, while reducing power to 200 watts slightly lowers speed but cuts power consumption by a third.

## Source excerpt

Ever witnessed a fighter jet spewing hot flames as it kicks into afterburner? In that moment, efficiency is deliberately sacrificed for maximum acceleration.