aichannel

It solves a critical efficiency problem in AI models. Traditional Mixture of Experts (MoE) models suffer from "expert load imbalance" - some experts get overloaded while others sit idle when distributed across different devices. This creates bottlenecks where the entire system runs only as fast as the slowest, most overloaded device.

Pangu Pro MoE’s key trick is to split up “who does what” so that every chip processes about the same number of tokens. No more stragglers, about a 35% speed boost over a regular (dense) model, and much higher hardware utilization, without hardware tweaks. It makes giant AI models faster, cheaper, and more reliable on Huawei’s Ascend chips.

https://x.com/gm8xx8/status/1927681309356491222
https://arxiv.org/abs/2505.21411