Artificial Intelligence

LRMoE Introduces Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes

Researchers have unveiled LRMoE, a new memory-aware training system designed to address computation and communication bottlenecks in Sparse Mixture-of-Experts (MoE) models. By jointly recalibrating backward demand and…