Core Viewpoint - Paradigm Intelligence (06682) has announced the completion of comprehensive adaptation and deep optimization of 26 mainstream models from Zhipu (02513) for its "ModelHub XC," enhancing its model ecosystem capabilities in domestic computing environments [1][3]. Group 1: Model Adaptation and Performance - The adapted Zhipu models can operate efficiently on supported domestic computing platforms, including Ascend 910B4, Cambricon MLU370-X4, and others, demonstrating excellent compatibility and inference performance [3][4]. - The collaboration between Paradigm Intelligence and Zhipu represents a significant practice in the integration of domestic software and hardware ecosystems, enriching the immediate model library of ModelHub [3][4]. Group 2: Industry Applications and Solutions - The integrated solution provides a comprehensive domestic solution from underlying computing power to upper-layer models, catering to industries with high data security and technology autonomy requirements, such as finance, government, energy, and manufacturing [4]. - Companies can quickly deploy and manage the optimized Zhipu models on the ModelHub platform, accelerating the application of AI in critical business scenarios [4]. Group 3: Future Developments and Company Profiles - Paradigm Intelligence aims to deepen software and hardware collaboration with Zhipu and other computing partners, expanding the boundaries of its model ecosystem [4]. - Zhipu, a key player in the domestic large model field, is set to be listed on the Hong Kong Stock Exchange on January 8, focusing on the commercialization of multimodal dialogue and text and video generation technologies [4]. - Paradigm Intelligence, established in 2014, is a leader in the AI + enterprise services sector in China, with plans for group upgrades by 2025, covering B-end enterprise services and C-end consumer electronics [4].

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]

Core Insights - The core point of the news is the significant progress made by Paradigm Intelligence in the adaptation of its ModelHub XC, achieving over 2000 certified models ahead of schedule, which enhances the domestic AI ecosystem's model coverage and reliability [1][2]. Group 1: Model Adaptation Progress - The number of certified models in ModelHub XC has exceeded 2000, surpassing the expected timeline by half a month [1]. - The platform has accelerated its computational engine's automated adaptation capabilities, improving both the speed and quality of model adaptation [1]. - The certification of new models comes from contributions by over 100 open-source organizations and developer communities, covering mainstream open-source frameworks such as Qwen, Llama, Mistral, Phi, and DeepSeek [1]. Group 2: Hardware Compatibility - The adaptation primarily focuses on domestic computing platforms, including Ascend 910B3/910B4, and extends to other platforms like Mu Xi Xi Cloud C500, Haiguang K100AI, and Tian Shu Zhi Xin Zhi Kai 100 [1]. - The extensive model certification not only increases the number of models but also enhances the certainty of their deployment [1]. Group 3: Value-Added Services - ModelHub XC provides value-added services for self-developed or complex industry models, facilitating the final tuning process and reducing the costs and barriers associated with repeated adaptations [1]. - The platform aims to accelerate the large-scale implementation of AI in critical infrastructure sectors such as public security, transportation, and energy [1]. Group 4: Industry Collaboration - The rapid adaptation of ModelHub XC is crucial for achieving a transition from merely running large models on domestic computing to running them efficiently [2]. - The company invites developers, enterprises, and industry partners to join the ModelHub ecosystem to collaborate on model adaptation, technical optimization, and scenario construction [2]. Group 5: Overview of ModelHub XC - ModelHub XC is an AI model and tool platform designed for the domestic computing ecosystem, combining community and service functions [3]. - The platform aims to promote innovation and implementation of artificial intelligence on domestic hardware, offering comprehensive solutions from model training to inference and deployment [3].

Core Insights - The core point of the news is the significant progress made by Fan Shi Intelligent in the development of the ModelHub XC, which has surpassed 2000 certified models ahead of schedule, enhancing the adaptability and efficiency of AI models on domestic computing platforms [1][2]. Group 1: ModelHub XC Progress - The ModelHub XC has achieved over 2000 certified models, exceeding the expected timeline by half a month [1]. - The platform has accelerated its computational engine's automated adaptation capabilities, improving both the speed and quality of model adaptation [1]. - The certification of models comes from contributions by over 100 open-source organizations and developer communities, covering mainstream open-source systems such as Qwen, Llama, Mistral, Phi, and DeepSeek [1]. Group 2: Adaptation and Integration - The adaptation primarily focuses on domestic computing platforms like Ascend 910B3/910B4, while also expanding to platforms such as Mu Xi Xi Cloud C500, Haiguang K100AI, and Tian Shu Zhi Xin Zhi Kai 100 [1]. - The ModelHub XC facilitates a tagged matching of models, hardware, and software, helping developers reduce trial and error [1]. - The platform offers value-added services for self-developed or complex industry models, optimizing the final adjustments and lowering the costs and deployment barriers for AI in critical infrastructure sectors [1]. Group 3: Industry Collaboration - The rapid adaptation of ModelHub XC is crucial for achieving a self-controlled AI industry in China, transitioning from merely running large models to running them efficiently on domestic computing [2]. - The company invites developers, enterprises, and industry partners to join the ModelHub ecosystem for collaborative model adaptation, technical optimization, and scenario co-construction [2]. Group 4: About ModelHub XC - ModelHub XC is an AI model and tool platform aimed at the domestic computing ecosystem, providing a comprehensive solution from model training and inference to deployment [3].

Core Insights - Paradigm Intelligence announced that its "ModelHub XC" has achieved over 1,000 certified models in just two months, four months ahead of schedule, marking significant progress in the domestic AI ecosystem [1][12] - The platform supports a diverse range of models, from general large language models to specialized vertical models and cutting-edge innovations, providing a solid foundation for the coordinated development of domestic AI hardware and software [1][12] Group 1: Platform Development - The "ModelHub XC" platform was officially launched on September 22, 2025, aiming to address the compatibility issues between deployed models and underlying chip architectures [2] - Key milestones include the successful adaptation of complex vertical models on domestic chips, achieving commercial-grade performance standards [4] - The platform has demonstrated strong ecological expansion capabilities by completing the adaptation of 108 models in a single batch, covering various task types [11] Group 2: Technical Innovations - The platform has achieved significant breakthroughs in adapting advanced models, such as the DeepSeek-OCR, which utilizes visual modality to compress text information, addressing efficiency challenges in large language models [6] - The MiniMax-M2 model, a leading open-source agent model, has been adapted for domestic chips, showcasing its global competitiveness with 230 billion parameters [8][9] Group 3: Future Outlook - The platform aims to accelerate towards a "ten thousand model" ecosystem within a year, continuously expanding model scale and chip support [13] - The focus will be on maintaining a rapid update pace to build a more complete and efficient domestic AI infrastructure [13]

Core Insights - The launch of "ModelHub XC" by Paradigm Intelligence has achieved over 1,000 model adaptations within two months, four months ahead of schedule, marking significant progress in the domestic AI ecosystem [1][11] - The platform supports a diverse range of models, including general large language models, specialized vertical models, and cutting-edge innovative models, providing a solid foundation for the coordinated development of domestic AI software and hardware [1][12] Development Timeline - **Launch Date**: The platform was officially launched on September 22, 2025, addressing the compatibility issues between deployed models and underlying chip architectures, which has been a barrier to the large-scale implementation of AI [2][12] - **Vertical Model Adaptation**: On October 17, 2025, the platform completed the adaptation and deep optimization of the wind tunnel calculation model on the domestic chip Xiwang S2, achieving commercial-grade performance [4] - **Frontier Model Adaptation**: On November 1, 2025, the innovative model DeepSeek-OCR was successfully adapted for testing on various domestic computing cards, showcasing significant technical innovation [6] - **Agent Model Deployment**: On November 17, 2025, the efficient agent model MiniMax-M2 was adapted for deployment on the Ascend 910B4 chip, demonstrating global leadership in model capabilities [7] - **Batch Adaptation Achievement**: On November 25, 2025, the platform achieved large-scale adaptation of 108 models on the Moer Thread chip, highlighting its strong ecological expansion capabilities [9] Platform Capabilities - The platform is driven by the EngineX engine, enabling "plug-and-play" deployment of models on domestic chips, significantly shortening deployment cycles and resolving compatibility issues [12] - The model ecosystem is rich and diverse, covering a wide range of models and supporting major domestic computing platforms [12] - The platform offers professional services for model adaptation, backed by a team of hundreds of engineers to ensure successful adaptation and stable operation in domestic environments [12] Future Outlook - The platform aims to accelerate towards a "ten thousand model" ecosystem within a year, continuing to expand model scale and chip support [14] - The company plans to maintain a rapid update pace to build a more complete and efficient domestic AI infrastructure [14]

Core Insights - Paradigm Intelligence announced that its "ModelHub XC" has completed the adaptation certification of 108 mainstream AI models on Moore Threads' 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] - Moore Threads, a domestic GPU company that recently launched on the Sci-Tech Innovation Board, demonstrated significant advantages in quantized models during the adaptation process, showcasing hardware-level support for low-precision data types, optimized instruction sets, and cache mechanisms [1] - The launch price of Moore Threads' shares was set at 114.28 yuan per share, marking a new high for A-share IPO prices since 2025 [1] Company and Industry Summary - The "ModelHub XC" serves as an AI model and tool platform aimed at the domestic computing power ecosystem, providing a comprehensive solution from model training and inference to deployment, while also fostering community and service functionalities [4][5] - The EngineX engine technology developed by Paradigm Intelligence focuses on improving model compatibility and operational efficiency on domestic chips, significantly lowering deployment barriers for developers [1][3] - The adaptation process included models from various series such as Mata, Qianwen, Deepseek, and others, effectively addressing the bottlenecks in model compatibility and scalability on domestic chips [3]

Core Insights - Paradigm Intelligence recently announced that its "ModelHub XC" has completed the adaptation certification of 108 mainstream AI models on Moore Threads GPUs, 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, injecting continuous momentum into the domestic computing power ecosystem [1][3] - Moore Threads, a domestic GPU company set to launch on the Sci-Tech Innovation Board, has demonstrated significant advantages in quantized models during this adaptation process, with its GPUs effectively reducing model memory usage and enhancing inference speed through hardware-level support for low-precision data types and optimized instruction sets [1] - The official launch of Moore Threads on the Sci-Tech Innovation Board is scheduled for November 24, with an issuance price of 114.28 yuan per share, marking a new high for A-share IPO prices since 2025 [1] - The efficient and stable operation of models on domestic chips is a key challenge for the industry, and Paradigm Intelligence is addressing this by leveraging its self-developed EngineX engine technology to improve model compatibility and operational efficiency on domestic chips, significantly lowering deployment barriers for developers [1][5] Summary by Sections ModelHub XC Overview - ModelHub XC is an AI model and tool platform aimed at the domestic computing power ecosystem, providing a comprehensive solution that covers the entire process from model training and inference to deployment, while also serving community and service functions [5] EngineX Engine - The EngineX engine serves as the underlying support system for ModelHub XC, enabling "engine-driven, multi-model plug-and-play" capabilities, effectively addressing the bottlenecks in model compatibility and scale support on domestic chips [3][5]

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]

Core Insights - Fourth Paradigm launched the "ModelHub XC" platform, along with a community and value-added services for model adaptation, aiming to address compatibility issues between domestic AI models and chips [1] - The introduction of EngineX, an AI engine system specifically designed for domestic computing power, facilitates batch model support and reduces deployment time, promoting a "plug-and-play" model approach [1] - Fourth Paradigm's value-added services, supported by hundreds of engineers, ensure model adaptation to specified domestic computing power, with over a hundred certified models currently and a target of reaching hundreds of thousands within a year [1] Industry Context - Compatibility issues between models and chips in the domestic computing ecosystem often lead to prolonged deployment cycles and increased redundancy in work [1] - The launch of "ModelHub XC" aims to bridge the gap between computing power and models, potentially providing critical support for the large-scale implementation of AI in the industry [1]