NOR Flash Memory Shortage: A Growing Problem
The increasing demand for artificial intelligence applications is exacerbating the shortage of high-capacity NOR Flash memory. In particular, SLC (Single-Level Cell) and MLC (Multi-Level Cell) memories are becoming increasingly scarce resources.
This situation is set to create significant problems for device manufacturers who rely on these memories for their operation. Limited availability could lead to cost increases and production delays.
Implications for the AI Sector
Although the article does not directly specify which AI components are impacted, it is reasonable to assume that this shortage may affect the production of specialized hardware for AI inference, such as accelerator cards or edge devices that require non-volatile memory for booting and model storage.
General context
NOR Flash memories are used in a wide range of applications, from firmware storage in embedded devices to automotive infotainment systems. Their non-volatility and ability to retain data even in the absence of power make them essential components in many sectors. The current shortage highlights the vulnerability of the global supply chain and its susceptibility to demand fluctuations in rapidly growing sectors such as artificial intelligence.
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