Cambricon(SH:688256) IPO早知道·2025-09-30 07:13Core Viewpoint - The article discusses the significant advancements in domestic AI models and chips, particularly focusing on the release of the GLM-4.6 model by Zhiyu, which showcases enhanced capabilities in coding and other AI applications, marking a new phase of collaboration between domestic large models and chips [2][5]. Group 1: Model Advancements - Zhiyu officially released and open-sourced the new generation large model GLM-4.6 on September 30, achieving substantial improvements in core capabilities such as Agentic Coding [2]. - In public benchmark tests and real programming tasks, GLM-4.6's code generation ability has fully aligned with Claude Sonnet 4, making it the strongest coding model in China [5]. - The model has undergone comprehensive upgrades in long context processing, reasoning ability, information retrieval, text generation, and intelligent applications, surpassing the performance of DeepSeek-V3.2-Exp [5]. Group 2: Chip Integration - GLM-4.6 has been deployed on leading domestic AI chips from Cambrian using FP8+Int4 mixed-precision inference, marking the first production of an FP8+Int4 model-chip integrated solution on domestic chips [7]. - This solution significantly reduces inference costs while maintaining model accuracy, providing a feasible path for local operation of large models on domestic chips [7]. - The adaptation of GLM-4.6 by Cambrian and Moore Threads indicates that domestic GPUs are now capable of iterating in sync with cutting-edge large models, accelerating the construction of a self-controlled AI technology ecosystem [7]. Group 3: Future Implications - The combination of the domestically developed GLM series large models and domestic chips is expected to continuously drive dual optimization of performance and efficiency in model training and inference [7]. - This collaboration aims to build a more open, controllable, and efficient artificial intelligence infrastructure, releasing broader social and industrial value through the Zhiyu MaaS platform [7].