智通财经APP获悉，近日，范式智能（06682）宣布，旗下「信创模盒」ModelHub XC已完成对智谱 （02513）共计26款主流模型的全面适配与深度优化。此次适配覆盖多模态对话、文本生成、文生视频等 丰富AI任务类型，进一步强化了信创模盒在国产算力环境下即开即用的模型生态能力。 未来，范式智能将继续携手智谱等优秀模型方，以及海光、沐曦等算力伙伴，深化软硬协同优化，持续 拓展模型生态边界。公司旨在通过「信创模盒」这一枢纽平台，携手更多生态伙伴，共同推动AI技术在 各行各业实现安全、高效、规模化的应用，为构建成熟、开放的国产AI基础设施生态持续贡献力量。 智谱是一家国内大模型领域的重要公司，即将于1月8日在香港联交所主板挂牌上市。其业务专注于多模 态对话、文本与视频生成等技术的商业化，为企业与开发者提供AI解决方案与平台服务。 范式智能是一家2014年成立的上市公司，是中国AI+企业服务领域的领导者，2025年实现集团化升级后， 公司主营业务涵盖面向企业服务的B端业务第四范式，以及面向消费电子市场的C端业务Phancy。 范式智能与智谱的技术协同，是国产软硬件生态融合的又一实践。此次与智谱模型的深度融合，不 ...

范式智能近日宣布，"信创模盒"ModelHub XC已完成108个主流AI模型在摩尔线程GPU上的适配认证， 涵盖文本生成、视觉理解、多模态问答等多种任务类型，预计未来半年内将扩展至千量级，为国产算力 生态注入持续动能。 值得一提的是，在本次批量适配过程中，作为年内登陆科创板的国产GPU企业，摩尔线程的硬件在量化 模型方面展现出显著优势。其GPU凭借对低精度数据类型的硬件级支持、优化的指令集与缓存机制，有 效降低了模型显存占用并提升推理速度，使量化模型在实际部署中兼具效率与能效。通过精细化校准与 优化，适配模型在性能提升的同时，也确保了推理精度满足商业落地要求。据报道，摩尔线程在11月24 日正式启动科创板发行，发行价为114.28元/股，创下2025年以来A股新股发行价新高。 在AI推理效率成为产业落地核心挑战的今天，如何实现模型在国产芯片上的高效、稳定运行，已成为 推动算力生态走向成熟的关键。作为应对，范式智能依托自研的EngineX引擎技术，重点突破模型在国 产芯片上的兼容性与运行效率，显著降低开发者的部署门槛。 目前，"信创模盒"ModelHub XC已完成包括Mata、千问、Deepseek、混元、 ...

智通财经APP获悉，近日，范式智能公布信创模盒最新节点进展：信创模盒ModelHub XC 适配认证模型数量已超 2000 个，比预期目标时间提前了半个 月。继 11 月达成"千模适配"里程碑后，平台加速升级算力引擎自动化适配能力，持续提升模型适配速度和质量，使国产信创 AI 生态在模型覆盖广度与确 定性上进一步提升。此期间的模型适配认证来自100+个开源组织与开发者社区贡献。新增/更新模型覆盖 Qwen、Llama、Mistral、Phi、DeepSeek 等主流 开源体系，并进一步补齐推理、代码等关键能力类型。 关于信创模盒ModelHub XC 信创模盒ModelHub XC是面向信创算力生态的AI模型与工具平台，兼具社区和服务的功能，致力于推动国产硬件平台上的人工智能创新与落地，提供涵 盖模型训练、推理到部署的全流程解决方案。 适配范围以昇腾 910B3/910B4 为主，同时扩展至沐曦曦云 C500、海光 K100AI、天数智芯智铠 100等国产算力平台，覆盖主流国产算力平台。 2000+的适配认证模型不只是"模型更多"，更是"落地更确定"。「信创模盒」ModelHub XC 通过模型—硬件—软件的 ...

近日，范式智能公布信创模盒最新节点进展：信创模盒ModelHub XC 适配认证模型数量已超 2000 个， 比预期目标时间提前了半个月。继 11 月达成"千模适配"里程碑后，平台加速升级算力引擎自动化适配 能力，持续提升模型适配速度和质量，使国产信创 AI 生态在模型覆盖广度与确定性上进一步提升。此 期间的模型适配认证来自100+个开源组织与开发者社区贡献。新增/更新模型覆盖Qwen、Llama、 Mistral、Phi、DeepSeek等主流开源体系，并进一步补齐推理、代码等关键能力类型。 适配范围以昇腾 910B3/910B4 为主，同时扩展至沐曦曦云 C500、海光 K100AI、天数智芯智铠 100等国 产算力平台，覆盖主流国产算力平台。 信创模盒ModelHub XC是面向信创算力生态的AI模型与工具平台，兼具社区和服务的功能，致力于推 动国产硬件平台上的人工智能创新与落地，提供涵盖模型训练、推理到部署的全流程解决方案。 我们诚邀广大开发者、企业与行业伙伴加入「信创模盒」生态，共同参与模型适配、技术优化与场景共 建，携手推进国产算力与AI应用的深度融合，赋能千行万业的智能化转型。 关于信创模盒 M ...

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]