Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
NeurIPSSpotlight2025
TL;DR
Mixture-of-Experts (MoE) architecture offers enhanced efficiency for Large Language Models (LLMs) with modularized computation, yet its inherent sparsity poses significant hardware deployment challeng…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
large language model language model efficient sparsity llm
← All NeurIPS 2025 Spotlight papers · Browse the whole archive