Core Insights - Fourth Paradigm launched the "ModelHub XC" platform, addressing industry pain points by breaking down barriers between clients, computing power, and developers [1] - The "ModelHub XC" features an AI engine system called EngineX, which adapts various models to domestic computing power, reducing time and repetitive labor [1] - The platform currently supports over 100 certified models and aims for rapid updates in the number of adapted models [1] Group 1 - The "ModelHub XC" provides a wide variety of downloadable models, with a focus on adapting to domestic computing power [1] - The platform has already adapted to several mainstream domestic computing powers, including Huawei Ascend, Cambricon, and others, with plans to cover more in the future [1] - Fourth Paradigm offers value-added services for model adaptation, ensuring that users can have models adjusted to fit specific domestic computing power needs [1]

第四范式"信创模盒"ModelHub XC的上线，打破了"算力—模型"二元割裂现状，或为AI产业规模化落地 提供关键支撑。 国产算力生态中，模型与芯片常存在兼容性问题，导致部署周期长、重复工作量大。第四范式推出专门 适配信创算力的AI引擎体系EngineX，通过基础算法架构适配，实现批量模型支持，缩短部署周期，实 现"引擎驱动、多模型即插即用"。 针对企业级需求，第四范式提供"兜底"的增值服务，由数百名工程师支持，确保模型适配指定国产算 力。目前已适配认证模型上百个，预计一年内将达十万数级，半年内覆盖所有常见算力平台。 今日，第四范式发布"信创模盒"ModelHub XC平台、信创社区及信创模型适配增值服务，华为昇腾、壁 仞科技、天数智芯、昆仑芯、摩尔线程、曦望等多家头部芯片厂商到场见证，共同推进国产模型与国产 芯片适配难的问题解决。 ...

Core Viewpoint - The emergence of compatibility issues between deployed AI models and chip architectures is becoming a hidden ceiling that restricts the practical application of AI, which Fourth Paradigm aims to address with its new solutions [1][7]. Group 1: Product Launch - Fourth Paradigm officially launched the "ModelHub XC" platform, the "Xinchang Community," and the "Xinchang Model Adaptation Value-Added Service" to tackle industry pain points and bridge gaps between customers, computing power, and developers [3]. - The "ModelHub XC" features an innovative AI engine system, EngineX, specifically designed to adapt to domestic computing power, fundamentally addressing the long-standing compatibility and support issues of domestic AI models [7]. Group 2: Market Context - Many existing ModelHubs primarily optimize foreign models and software for their hardware (e.g., NVIDIA GPUs), leading to compatibility issues with domestic hardware (e.g., Cambricon), resulting in time-consuming and repetitive adaptation processes [8]. - The platform has already certified and adapted over a hundred models upon launch, with plans to increase this number to thousands within six months and to reach tens of thousands within a year [10]. Group 3: Services and Support - Fourth Paradigm introduced a value-added service for model adaptation, providing tailored adjustments for users unfamiliar with which models are compatible with domestic computing power, ensuring a "safety net" for model compatibility [12]. - The platform also offers clear labeling of compatible domestic chip brands for each model, simplifying the process for users to determine which chips to purchase based on the models they wish to download [10].