The “memory wall” is the core challenge facing AI training today. HBM4 (High Bandwidth Memory 4) is here to shatter this bottleneck once and for all, providing the essential storage backbone for the AI-driven compute explosion.

Wear leveling is a low-level management technology applied to NAND flash storage devices. Its core purpose is to evenly distribute erase/write operations across all storage units of the device, preventing some storage units from wearing out prematurely.

Among the many M.2 SSD specifications, 2242 and 2280 are two of the most common sizes. The m.2 2242 SSD is more suitable for devices with limited space, while the 2280 one focuses more on performance and capacity.

On March 24, 2026, Google Research officially unveiled TurboQuant – a disruptive AI compression technology that compresses the KV Cache. The announcement triggered immediate volatility in the global memory chip market.

SSD garbage collection is an automated background process run by the SSD’s internal controller. Its job is to clean up invalid data (garbage) left by file deletions, overwrites, and system changes, reorganize fragmented flash memory space, and refresh usable storage blocks for new data writes.