华为：迈向智能世界白皮书2023-数据存储_65页_6mb

The document "迈向智能世界白皮书2023数据新范式，释放AI新动能" analyzes the pivotal role of data storage in advancing AI and other technologies. It draws parallels between human and machine intelligence development, emphasizing that data is the foundation for AI's growth, with three key components being data, computation, and algorithms. Data storage enables the collection, preprocessing, training, and inference stages of AI models, requiring high performance, scalability, and security. Key recommendations include adopting new data paradigms like vector storage for AI applications and ensuring efficient data infrastructure.

The white paper explores various sectors, noting that 80% of future data will be unstructured, necessitating innovations such as all-flash storage, near-data computing, and distributed systems to handle burgeoning data volumes efficiently. Big data applications are moving toward real-time analytics and lakehouse architectures for improved decision-making, while distributed databases are evolving with compute-storage separation to enhance flexibility and scalability.

Cloud-native trends involve supporting multi-cloud deployments and container-based applications, with storage providing on-demand resources. Security is paramount, with a focus on storage-native security measures like encryption and defense against ransomware. Green energy initiatives highlight reducing storage's environmental impact through energy-efficient technologies. The document advocates for enterprises to invest in professional teams, foster collaborative design between storage and application teams, and prioritize green and AI-driven storage solutions for sustainable and secure data infrastructure.