The Problem

• Large-scale Mixture of Experts (MOE) models suffer from high communication costs
• Computational overhead slows down training and inference
• Organizations deploying distributed AI models face latency and resource inefficiencies
• Cost of not solving: increased infrastructure expenses, slower AI services, and limited scalability