In the context of the rapid evolution of high-performance computing (HPC) and AI servers, the role of memory within system architectures is undergoing a significant transformation. Market demands increasingly emphasize data movement costs, system power consumption, and overall operational efficiency. Non-volatile memory (NVM) has evolved from a purely passive storage component into a critical element participating in system resource allocation, security management, and boot operations. Against this backdrop, there has been a clear shift in the positioning of embedded flash memory (eFlash) and standalone NOR Flash.
Historically, in microcontrollers (MCUs) and low-power edge computing SoCs, developers preferred to integrate eFlash directly on-chip to maintain high integration levels and reduce system complexity. However, as semiconductor process nodes shrink below 28nm and even enter advanced FinFET processes, eFlash faces severe structural limitations. Writing to eFlash requires high-voltage devices and specialized process modules, which physically conflict with advanced logic processes designed for low-voltage operation and ultra-thin gate oxides. Forcibly integrating large-capacity eFlash typically requires approximately 8–12 additional masks (depending on the process platform and memory architecture), significantly increasing production costs while also challenging yield and reliability control. In advanced process nodes, continuing to pursue on-chip eFlash integration is no longer economically viable.
This technical bottleneck has driven system designs toward external storage solutions, bringing discrete NOR Flash back into focus for various high-performance applications. Using QSPI, OSPI, or other high-speed serial interfaces, SoCs can store firmware, boot programs, and critical configuration parameters in external dedicated memory chips. This division of labor allows logic chips to focus on high-density computation and AI acceleration, while NVM is handled by memory vendors with specialized processes, improving overall process flexibility and supply chain cost management.
This shift is particularly critical in AI server architectures. Although the primary computation and data exchange in AI systems rely on volatile memories such as HBM or DDR5, the Baseboard Management Controller (BMC), responsible for low-level system management, relies heavily on NOR Flash. As AI server structures become increasingly complex, with numerous GPUs, FPGAs, and network switching components, the BMC uses discrete NOR Flash to store core firmware, perform remote monitoring, and conduct fault diagnostics. To address cybersecurity threats, systems typically implement secure boot mechanisms (Root of Trust), with encrypted signatures and secure boot code stored in highly reliable NOR Flash.
Furthermore, AI servers demand reliability standards far beyond those of consumer electronics. Any boot failure or firmware corruption can halt an entire compute cluster, incurring significant operational losses. Consequently, NOR Flash used in data centers must meet stringent verification standards regarding failure rate (DPPM), endurance, and data retention under high-temperature conditions. These high-reliability requirements have transformed NOR Flash from a simple boot component into a strategic element that ensures system stability and security. With the adoption of more frequent firmware updates and multi-version management in AI systems, the read/write cycle endurance and data integrity verification of NOR Flash become increasingly critical.
From an industry structure perspective, this change has prompted a redivision of labor within the semiconductor supply chain. While eFlash was once a core integration capability for SoC vendors, moving storage functions to specialized memory suppliers in the context of AI and advanced process nodes improves overall efficiency. Logic design companies can focus on computation architectures and accelerator design, while memory vendors build technological barriers in high-reliability markets. Overall, the integration threshold in advanced process nodes has created new growth opportunities for external NOR Flash. The expanding AI server market drives demand for high-reliability non-volatile storage, establishing NOR Flash as an indispensable component in system management architectures and a key enabler of stable compute performance in the AI era.