Core Viewpoint - The issuance of standardized contract templates for data circulation transactions aims to facilitate smoother and more efficient data trading among businesses, addressing existing challenges in the market [3][4][5]. Group 1: Contract Types - The standardized contract templates focus on four typical scenarios in data circulation: data provision, data entrusted processing, data fusion development, and data intermediary services [3]. - The data provision contract is designed for data providers to share data with recipients through various means, including paid transactions and licensing [3]. - The data entrusted processing contract allows data owners to delegate data processing tasks to third parties based on specific instructions [3]. - The data fusion development contract facilitates collaboration among parties to share data for creating platforms or pools, such as AI training zones [3]. - The data intermediary services contract pertains to the facilitation of data transactions through marketing, information dissemination, and contract establishment [3]. Group 2: Benefits and Efficiency - The standardized contracts include common clauses regarding data ownership, confidentiality, liability, and dispute resolution, which are tailored to the specific needs of data circulation transactions [4]. - The introduction of these templates is expected to significantly reduce negotiation costs and improve transaction efficiency by approximately 30% [4][5]. - The templates will help businesses avoid lengthy negotiations and unclear contract terms, which have previously led to disputes and increased costs [4][5]. Group 3: Market Implications - The availability of standardized contracts encourages businesses to treat data as a distinct commodity, enhancing participation from risk-averse entities like state-owned enterprises and financial institutions [6]. - The growing trend of data trading is reflected in the financial disclosures of listed companies, indicating a shift towards more structured and compliant data transactions [5][6].

中国移动（600941）通信联合会教育与科学技术研究院执行院长、区块链与数据要素专委会主任陈晓华 对《证券日报》记者分析，示范文本通过标准化合同框架如明确权属、质量、安全要求，大幅降低数据 交易协商成本与法律风险，激活市场流动性，同时落实数据"三权分置"规则，促进跨行业数据融合开 发，推动数据从资源向生产要素转化，直接驱动数字经济价值创造效率提升。 本次发布的示范文本聚焦数据流通中最典型的四类场景，即数据提供、数据委托处理、数据融合开发和 数据中介，供数据市场中的经营主体使用。从应用场景来看，示范文本覆盖了大部分数据交易场景，为 企业数据开发提供标准化合作框架，企业可以基于合同约定的收益分配机制，探索数据授权运营、数据 信托等创新路径，激发了企业的用数热情。 深圳市信息服务业区块链协会会长郑定向在接受《证券日报》记者采访时表示，数据资产入表的核心前 提是产权清晰，但传统合同中数据权属条款模糊，导致审计机构对数据资产权属存疑。示范文本通过明 确四类场景的产权归属条款，为企业数据确权提供了标准化依据，降低了企业合作顾虑。 在数字经济时代，数据已成为继土地、劳动力、资本、技术之后的第五大生产要素，数据流通交易作为 ...

Core Viewpoint - The 2025 Global Digital Economy Conference highlighted the importance of high-quality data set construction and the establishment of a trusted data space as key focus areas for future data circulation [1][3]. Group 1: Data Circulation Infrastructure - Beijing Capital Information Development Co., Ltd. is leading the construction of a "Data Circulation Utilization Value-Added Collaboration Network" to address the supply-demand mismatch of high-quality data sets [3]. - The data circulation platform has officially launched, offering nearly 4,000 data products across 12 application scenarios and aggregating over 300 market entities [3]. - The company aims to enhance the market by increasing the availability of high-quality data sets on the platform, facilitating the flow and transaction of data between supply and demand sides [3]. Group 2: Trusted Data Space - The establishment of a trusted data space is a critical focus area, serving as a virtual computing environment where data providers and users can access and perform computations on encrypted data [4]. - This environment ensures that data is "available but not visible," providing reliable support for the market-oriented circulation of data elements [4]. - The company has already launched several solutions related to the trusted data space, with corresponding practical applications underway [4].

Core Viewpoint - The National Bureau of Statistics and the State Administration for Market Regulation have introduced measures to enhance the efficiency of data circulation and transactions by releasing model contracts for data circulation transactions [1] Group 1: Data Circulation Transaction Measures - The initiative aims to address the low efficiency of data circulation and transaction processes [1] - Model contracts have been published to serve as a reference for businesses in need [1] Group 2: Typical Data Circulation Scenarios - There are four typical scenarios for data circulation transactions: 1. Data providers supplying data to data recipients 2. Data entrustors handing over data to data trustees for processing 3. Multiple parties collaborating on data fusion and development 4. Data intermediaries facilitating data circulation transactions [1]

与光模块使用光纤作为信号传输介质不同，电口模块采用铜缆（如 Cat5e/Cat6 ）作为传输媒介，实现短距离（通常为 30 至 100 米）电信号的高 速传输。其最常见的物理连接接口为 RJ45 接口，该接口嵌入在模块前端，便于与标准以太网铜缆对接。电口模块本质上集成了 RJ45 连接器与电 气 PHY 功能电路，并通过其背部标准的 SFP 或 SFP+ 金手指插入网络设备的模块槽中，实现模块化、热插拔、灵活扩展的电口连接。由于其外形 与光模块一致，电口模块通常也被称为 SFP 电口模块或 Copper SFP/SFP+ ，支持百兆（ 100Mbps ）、千兆（ 1Gbps ）到万兆（ 10Gbps ）等多种 速率等级（ 部分模块可支持 2.5G/5G BASE-T 等速率 ）。 SFP 可支持 1 Gbps 速率，兼容 1000BASE-T 模块， SFP+ 可支持 10 Gbps 速率，兼容 10GBASE-T 模块。通过电口模块，网络设备制造商可在不更改主板设计的情况下实现电口 / 光口的灵活配置与部署，显著提升了系统的可维护性 与成本效益，是当前光电混合网络架构中不可或缺的重要组件。 电口模块 即光转 ...

Group 1 - Shenzhen is advancing high-level opening-up initiatives, including the application of employee contract systems in new R&D institutions and exploring joint venture capital funds between mainland China and Hong Kong [1] - The Qianhai area will enhance foreign talent services and deepen the joint talent introduction mechanism with Hong Kong and Macau, while also facilitating the practice of professionals from these regions [1] - The He Tao area will strengthen collaboration between industry, academia, and research, introducing key research projects from renowned universities in Hong Kong and Macau [1] Group 2 - Qianhai plans to launch intellectual property securitization products and develop a nurturing base for companies going public in Hong Kong, while also exploring diversified data circulation and transaction methods [2] - The He Tao area aims to establish a cross-border dual-currency early-stage mother fund in collaboration with Hong Kong venture capital [2] - Qianhai will focus on developing cross-border e-commerce and other new business models, while enhancing existing advantages in transportation, finance, and telecommunications [2]

Group 1 - China Petroleum & Chemical Corporation (Sinopec) has applied for a patent related to seismic processing workflow data transfer methods and devices, with publication number CN120125000A, filed on December 2023 [1] - The patent aims to enhance dynamic memory management of seismic processing systems, allowing for real-time updates and management of module relationships and header information [1] - The proposed method addresses the need for dynamic changes in data flow within business processes, improving efficiency in seismic data handling [1] Group 2 - China Petroleum & Chemical Corporation was established in 2000, located in Beijing, primarily engaged in petroleum, coal, and other fuel processing industries, with a registered capital of approximately 12.17 billion RMB [2] - The company has invested in 249 enterprises, participated in 5,000 bidding projects, and holds 45 trademark records and 5,000 patent records [2] - Sinopec Petroleum Exploration Technology Research Institute, founded in 2022 in Nanjing, focuses on extraction activities with a registered capital of approximately 133.61 million RMB, having invested in 2 enterprises and participated in 195 bidding projects [2]

作者 | 玉盘 AI 团队 审核 | 华卫 "大模型每生成 1 美元价值，需支付 3 美元算力成本"，算力成本挑战已无争议。从软件层面的各类优化 方案层出不穷，真正从硬件源头着手的方案却屈指可数，市面上能看到的包括 Groq 在内的新计算硬件 也多数在大模型爆发前定型，难以充分匹配大模型本身的需求。 DeepSeek 从用户角度的不少构想与玉盘 SRDA 在做的事不谋而合，包括 IO 融合、3D 堆叠 DRAM 等， 而玉盘进一步提出了更完整的架构设计，或正式拉开下一代大模型专用计算架构的序幕。 今天，国内团队玉盘 AI 发布《SRDA AI 大模型专用计算架构》白皮书，提出了一种全新的计算架构： 系统级精简可重构数据流架构 SRDA （System-level Simplified Reconfigurable Dataflow Architecture）， 从硬件源头解决当前 AI 算力的核心瓶颈。 与此同时，DeepSeek 于半个月前发表论文《Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI ...

Core Insights - The Beijing government is exploring data security governance for personal, enterprise, and public data to enhance service delivery and convenience [3][4] Group 1: Personal Data - The core issue with personal data is the lack of unified anonymization standards, which creates concerns for data circulation among enterprises [3] - Beijing is collaborating with hospitals to create public datasets from chest X-ray imaging data, aiming to balance patient safety and research needs [3] Group 2: Public Data - Balancing public interest and commercial utilization of public data is a key challenge, with no unified regulations on authorization and pricing [3][4] - The Beijing government has adopted a decentralized authorization approach for public data, particularly in the financial sector, and is considering whether to expand this or shift to centralized authorization [3] Group 3: Enterprise Data - Trust is crucial for enterprise data circulation, and external factors significantly influence its value [5] - Beijing is utilizing blockchain technology to establish a value-added collaboration network to enhance trust among enterprises, particularly in the steel industry where strong interconnections exist [5]

锚定未来，开放数据空间网络将成新方向 在演讲中，刘东进一步阐述了数据流通技术的未来发展方向，开放数据空间网络将为汽车行业数据流通 发展提供有力支撑。他指出，未来的数据空间将是一个融合多运营平台、分布式海量终端以及专业化数 据应用服务的生态系统，满足汽车厂商、供应商、科研机构等多运营平台的数据流通需求。其底层是基 于IPv6构筑的高速智能网络，核心层通过数据空间与隐私计算等技术实现可信共享，顶层则支撑多样化 的数据空间应用。同时，该体系将融入区块链存证与Web3价值转化机制，最终实现数据资源"供得出、 流得动、用得好、保安全"的目标，推动汽车产业链的升级与创新。 "开放数据空间网络不仅解决连接问题，更聚焦于数据的高效安全管理和价值实现，必将成为促进汽车 产业在全球范围内协同合作的关键基础设施。"刘东表示。其发展将随着认证机制和标准体系的不断成 熟，从封闭空间向互联互通演进，最终构建全球范围的开放数据空间网络。由下一代互联网国家工程中 心牵头的粤港澳大湾区跨境服务平台、科研数据空间、国际跨境可信数据空间-香港站等国内实践，以 及欧洲健康数据空间(EHDS)、Catena-X等国际案例，已充分验证了数据空间在多个产 ...