MFU is a valid linear predictor of GPU power in compute-bound LLM training, with per-(GPU, dtype, batch) fits reaching 1% error, matching measurement noise.
Vidur: A large-scale simulation frame- work for llm inference,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.PF 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Evaluating MFU as a Proxy for GPU Power for Energy-Aware Simulation of LLM Training
MFU is a valid linear predictor of GPU power in compute-bound LLM training, with per-(GPU, dtype, batch) fits reaching 1% error, matching measurement noise.