Core Insights - Paradigm Intelligence recently announced that its "ModelHub XC" has completed the adaptation certification of 108 mainstream AI models on MoEr Thread's GPU, covering various task types such as text generation, visual understanding, and multimodal Q&A, with plans to expand to a thousand models in the next six months [1][3] - MoEr Thread, a domestic GPU company that went public on the Sci-Tech Innovation Board this year, demonstrated significant advantages in quantized models during the adaptation process, effectively reducing model memory usage and improving inference speed [1] - The official launch of MoEr Thread's IPO on November 24 set a new high for A-share IPO prices since 2025, with a price of 114.28 yuan per share [1] - The efficient and stable operation of models on domestic chips is crucial for the maturity of the computing power ecosystem, and Paradigm Intelligence is addressing this by leveraging its self-developed EngineX engine technology to enhance model compatibility and operational efficiency on domestic chips [1] Model Adaptation and EngineX Technology - The "ModelHub XC" has successfully validated model series including Mata, Qianwen, Deepseek, and others on MoEr Thread's GPU, with the EngineX engine enabling "engine-driven, multi-model plug-and-play" capabilities [3] - EngineX serves as the underlying support system, effectively addressing the bottlenecks in model compatibility and scalability on domestic chips [3] Overview of ModelHub XC - ModelHub XC is an AI model and tool platform aimed at the domestic computing power ecosystem, combining community and service functions to promote AI innovation and implementation on domestic hardware platforms, providing comprehensive solutions from model training to inference and deployment [6]
信创模盒+摩尔线程完成逾百个模型适配量化模型优势显著