Core Insights - The overall market for hyper-convergence in China is projected to grow by 14.1% year-on-year, exceeding 3.09 billion RMB by Q1 2025, with Xinhua San leading the market share [1] - The report highlights that the implementation of artificial intelligence (AI) scenarios is driving the growth of full-stack hyper-convergence, with generative AI expected to become the primary driver of infrastructure investment in the next 18 months [1][6] Market Trends - The demand for enterprise-level AI applications necessitates high performance, resource utilization, container environment support, and diverse data storage capabilities from IT infrastructure [3] - Flexibility in computing and storage resource allocation is essential, as different development teams have varying GPU resource needs, which may change frequently [3][4] - High-performance, low-latency storage support is critical for fine-tuning large AI models, requiring storage to provide rapid data access for GPU parallel computing [3][4] Infrastructure Requirements - IT infrastructure must support diverse data storage technologies to handle structured, semi-structured, and unstructured data, as AI applications require different storage responses [4] - Unified support for virtualization and containerized workloads is necessary, as many AI applications are adopting cloud-native and containerized models while virtual machine-based applications will continue to exist [4][5] - The infrastructure should be flexible and easy to maintain, allowing for rapid deployment and scaling to support the quick launch of AI applications [5] Product Development - Full-stack hyper-converged products designed for AI training and inference can effectively address key challenges such as resource waste, data silos, and low training efficiency [5] - SmartX has upgraded its hyper-converged infrastructure solution to the "Sun-Mortise Cloud Platform," adding AI platform capabilities to support enterprise AI applications across various sectors [5] Future Outlook - The need for handling massive and diverse data types, along with multi-layered technology and resource management, will drive the growth of software-defined storage and hyper-converged infrastructure in the coming years [6]