Assist various industries in stimulating innovation potential, software defined storage drives data infrastructure construction

　　 In the grand landscape of the digital economy, the fundamental position of data infrastructure is self-evident. The latest report on the development and application of software defined storage released by the China Academy of Information and Communications Technology (hereinafter referred to as the "Software Defined Storage Report") clearly points out that software defined storage is becoming one of the key technologies in the field of data infrastructure.

　　 《The Software Defined Storage Report shows that mainstream global vendors are strengthening their software definition transformation, driving the restructuring of the storage industry landscape. On the one hand, traditional hardware manufacturers are committed to continuing their market advantages through a software strategy; On the other hand, emerging professional software defined storage (SDS) vendors represented by XSKY, Xingchen Tianhe, and others have created unique advantages through "architecture decoupling". At the same time, in order to meet the security needs of the domestic digital economy architecture, the software defined storage underlying server hardware is showing a trend of generalization and diversification, and compatibility has become an important factor in measuring the capabilities of SDS products. Domestic software defined storage vendors such as XSKY, Xingchen Tianhe, and Shenxin are also continuously enhancing their support for multiple processors such as x86, Kunpeng, Haiguang, and Feiteng, as well as third-party server platforms, to create a differentiated competitive advantage with a pool of multiple chips. Leading the digitalization of industries to new heights, the powerful effectiveness of software defined storage has been repeatedly verified in many emerging scenarios such as internet applications and industrial digital innovation. The Software Defined Storage Report points out that software defined storage has entered the development stage of "deep empowerment of industry digital transformation", providing full protocol and full scenario support for diversified industry applications, covering various complex application scenarios from non core applications, quasi core applications to core applications, meeting the data storage and management needs of massive heterogeneous data sources, spanning mixed cloud architectures, and covering various industry cloud scenarios.

   For example, in the financial industry, institutions gather massive amounts of data, covering structured data such as customers, accounts, products, and transactions, as well as unstructured data such as voice, video, and images, objectively driving the transformation of data storage architecture towards a "software defined distributed+traditional centralized" dual core model. Based on distributed architecture, the advantages of software defined storage in terms of performance and capacity expansion are fully demonstrated, which can effectively address the challenges of data storage in large-scale and high concurrency scenarios. It has become a key technology supporting the distributed transformation of data storage architecture in the financial industry. Meanwhile, in a series of quasi core, non core, and internet application scenarios including marketing systems, peripheral channel          businesses, data analysis, and internal management systems, software defined storage has become the mainstream choice for various market institutions. In the field of intelligent manufacturing, the digital and intelligent transformation calls for storage systems that can provide convenient support for massive data. Software defined storage can fully adapt to various digital platform construction needs, covering various dimensions such as operation, research and development testing, decision-making, and business support, while balancing flexible deployment and customization capabilities. In universities and research institutions, new applications such as machine learning, natural language processing, machine vision, virtual experiments, gene analysis, polymer materials, and intelligent medicine are flourishing, and there is a great demand for high-performance storage. At the same time, the call for domestic substitution is increasing. Software defined storage can effectively meet the demands of universities and research institutions for high-performance storage, and is           gradually becoming a key technology foundation in fields such as massive data analysis, artificial intelligence, and high-performance computing. In recent years, a series of national top-level strategic deployments around data infrastructure have been rapidly advancing, and the 14th Five Year Plan has deeply laid out software defined storage, ushering in a historic strategic opportunity for leapfrog development in the market. In contrast, the penetration rate of digitalization in various industries continues to increase, and innovative    applications are emerging like mushrooms after rain, thriving. In the past, data storage emphasized more on matching the needs of individual applications, focusing on functionality and stability. There was a phenomenon of "islands" in the construction and operation of data and application systems. The emergence of software defined storage enables the separation of data storage and computing. By supporting a unified resource pool across platforms and multiple protocols, it truly integrates data storage management and opens the    door to a new world of data infrastructure. According to data from the China Academy of Information and Communications Technology, the compound annual growth rate of China's data storage and management facility market will reach nearly 20% from 2021 to 2025. Among them, software defined storage continues to rapidly expand and has promising prospects, surpassing traditional storage and becoming the number one solution in the enterprise data storage market.

　　 As a core component of data infrastructure, the positive effect of storage on the development of the digital economy is becoming increasingly prominent. In order to adapt to the digital wave, data infrastructure is presenting five key features in technological evolution: cloudification, platform diversification, greening, intelligence, and integration. Software defined storage is highly in line with the trend of data infrastructure evolution, integrating five advantages: elastic expansion, agile management, open compatibility, cost optimization, and security and reliability. From the SDS deployment practice of XSKY Xingchen Tianhe in financial and other industry clients, many cases have achieved a 40% -50% reduction in TCO, deployed hundreds of nodes, and achieved a high proportion of heterogeneous business data coverage, stable support for efficient operation of various business systems. The full process control of data aggregation, storage, management, circulation, and application processes depicts a beautiful scene of "thousand sails competing" for the data infrastructure ecosystem. Software defined storage is demonstrating strong vitality, helping various industries stimulate innovation potential, expand value boundaries, and immerse themselves in the vast "blue ocean" of the digital economy.