Expert Streaming: Accelerating Low-Batch MoE Inference via Multi-chiplet Architecture and Dynamic Expert Trajectory Scheduling

1. 1Implement multi-chiplet architecture to increase on-chip memory and reduce off-chip memory access bottlenecks
2. 2Develop dynamic expert trajectory scheduling to optimize runtime scheduling and minimize workload imbalance
3. 3Utilize high die-to-die bandwidth chiplet designs to enhance data transfer between chiplets
4. 4Evaluate and fine-tune the Expert Streaming approach for specific MoE models and edge AI applications

AI engineers and researchers working on edge AI and MoE models can benefit from this approach to improve inference efficiency and reduce latency

💡 Multi-chiplet architecture and dynamic expert trajectory scheduling can significantly improve MoE inference efficiency

💡 Accelerate low-batch MoE inference with Expert Streaming!