" 基于镇岳510的pSLC方案已在阿里云OSS开展灰度测试，平头 哥与阿里云深度合作开展ZNS+QLC存储解决方案的探索。 " 作者丨 刘伊伦 编辑丨包永刚 " 存储是保证大模型正常运行的基础。 " 平头哥半导体产品总监周冠锋向雷峰网说到。 在大模型时代，全球正掀起大规模算力基建潮。 " 算力、算力，还是算力 " 的口号成为行业对这一趋势 的直白 概括 ，不少人将算力视为最核心的竞争资源。 但鲜少有人意识到，大模型从千亿参数训练到实时场景推理， 每一步都需要 EB 级海量数据的持续供给 ，而这些数据的安全留存、高效调取，全依赖存储系统的稳定运行，若缺乏高质量、高可靠的存储支撑， 再强大的算力也会因 " 数据断供 " 陷入 " 无米之炊 " 的困境。 这也恰恰点破了大模型时代技术基建的核心逻辑： 看似聚焦 " 算力突破 " 的技术革命，实则离不开 " 存 储支撑 " 的底层托举。 中国信通院最新出具的《 2025 先进存力研究报告》指出，我国数据生产量逐年增长，存力建设却略显滞 后，数据 " 应存未存 " 现象凸显。 在数据产量与存储容量的规模方面， 2023 至 2024 年数据年产量由 32.85 ZB ...

Core Points - The article discusses the architecture and technology choices for social applications, emphasizing the importance of selecting the right frameworks and services for development [5][8][9]. Group 1: Frontend Development - The frontend of a social app consists of mobile (iOS/Android) and web applications, utilizing frameworks like React.js, Vue.js, and Angular for single-page applications [3][5]. - Mobile app development can be native (using Swift for iOS and Kotlin for Android) or cross-platform (using React Native, Flutter, uni-app, or Taro), each with its own advantages and disadvantages [6][8]. Group 2: Backend Development - The backend handles business logic, data storage, user authentication, and API interfaces, with popular frameworks including Spring Boot for Java, Django for Python, and Express.js for Node.js [9]. - Java is noted for its high performance and stability, making it suitable for large-scale applications, while Python offers rapid development capabilities for smaller projects [9]. Group 3: Database and Storage Solutions - Relational databases like MySQL and PostgreSQL are commonly used for structured data, while NoSQL databases like MongoDB and Redis are preferred for unstructured data and high-speed access [9]. - Object storage services from providers like Alibaba Cloud and Tencent Cloud are essential for managing user-generated content such as images and videos [9]. Group 4: Cloud Services and Compliance - For the Chinese market, compliance with local regulations, including ICP filing and app registration, is crucial, along with the selection of domestic cloud service providers like Alibaba Cloud and Tencent Cloud [8]. - The article highlights the importance of integrating third-party SDKs for functionalities like instant messaging and content moderation, with a focus on local providers [8][9]. Group 5: Development Tools and Technologies - The use of message queues (e.g., Kafka, RabbitMQ) and search engines (e.g., Elasticsearch) is recommended for system decoupling and enhancing user experience through personalized content [9]. - Containerization technologies like Docker and Kubernetes are suggested for efficient application deployment and management [9].