Considerations and Practices for Domesticating Large‑Model Inference Engines
This article examines the importance of domestic large‑model inference engines, compares Chinese and international chips, evaluates four architectural approaches, discusses practical challenges such as performance loss and model support, and outlines future expectations for high‑performance, heterogeneous‑chip inference solutions.