32G 2RX8 PC5-4800B-SB0 DDR5 SODIMM M425R4GA3BB0-CQK Notebook 32G

The Samsung M425R4GA3BB0-CQK is a 32GB DDR5-4800, dual-rank SODIMM laptop memory module for users upgrading a compatible notebook that supports 262-pin DDR5-4800 memory.

Recommended For

• Owners of a compatible DDR5 SO-DIMM laptop or mini PC who need a single 32GB module to increase installed memory; ASUS lists this exact Samsung part in the memory QVL for its PN64-E1 mini PC.
• People whose compatible, upgradeable laptop slows down when many apps, browser tabs, or work files are open and who want more memory headroom from one module.
• Developers or technical users who run memory-intensive tools, such as local virtual machines, and have confirmed their system supports a 32GB DDR5-4800 SO-DIMM.
• Users replacing or matching an existing Samsung DDR5-4800 SO-DIMM who have checked their computer’s supported capacity and memory configuration.

Real-World Use Scenarios

• A user upgrading a compatible laptop that has a free DDR5 SO-DIMM slot can add this 32GB module to increase available memory; check the laptop’s supported capacity and memory configuration first, since the module is a single stick, not a matched kit.
• When work involves many browser tabs, video calls, and office apps open together, moving from a memory-constrained setup to 32GB can leave more room for those apps and reduce slowdowns from memory pressure; everyday tasks may feel much the same if the laptop already has enough RAM.
• A gamer who keeps chat, a browser, or a stream open alongside a demanding game may find 32GB helps avoid memory-related hitching when 16GB is running short; it does not by itself guarantee higher frame rates, which also depend on the laptop’s processor and graphics hardware.
• For hobby photo or video editing with several applications or project files open, 32GB can provide more working room than 16GB; complex effects, large projects, or high-resolution footage may still need more memory and a capable CPU and GPU.
• A developer running an IDE, browser documentation, and local containers or virtual machines at once may benefit from the extra memory headroom, especially when a 16GB system is close to full; the improvement depends on the workload and the laptop’s compatibility with this module.