1 citations · 1 across the 4 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.DC2025
Efficient MoE Serving in the Memory-Bound Regime: Balance Activated Experts, Not Tokens
Yanpeng Yu, Haiyue Ma, Krish Agarwal +10
Expert Parallelism (EP) permits Mixture of Experts (MoE) models to scale beyond a single GPU. To address load imbalance across GPUs in EP, existing approaches aim to balance the nu…
cs.CL2025
Pretraining Large Language Models with NVFP4
NVIDIA, Felix Abecassis, Anjulie Agrusa +87
Large Language Models (LLMs) today are powerful problem solvers across many domains, and they continue to get stronger as they scale in model size, training set size, and training…