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Get it between 2025-05-22 to 2025-05-29. Additional 3 business days for provincial shipping.
Boosts System Performance: 32GB DDR5 RAM laptop memory kit (2x16GB) that operates at 5600MHz, 5200MHz, or 4800MHz to improve multitasking and system responsiveness for smoother performance
Accelerated gaming performance: Every millisecond gained in fast-paced gameplay counts—power through heavy workloads and benefit from versatile downclocking and higher frame rates
Optimized DDR5 compatibility: Best for 12th Gen Intel Core and AMD Ryzen 7000 Series processors — Intel XMP 3.0 and AMD EXPO also supported on the same RAM module
Trusted Micron Quality: Backed by 42 years of memory expertise, this DDR5 RAM is rigorously tested at both component and module levels, ensuring top performance and reliability
ECC Type = Non-ECC, Form Factor = SODIMM, Pin Count = 262-Pin, PC Speed = PC5-44800, Voltage = 1.1V, Rank And Configuration = 1Rx8
Upgrade your laptop memory with the Crucial 32GB DDR5 RAM Kit (2x16GB), designed to deliver high-speed performance for gamers, content creators, and professionals alike. With speeds up to 5600MHz, flexibility for 5200MHz, 4800MHz, and a CAS Latency of 40, this DDR5 memory ensures faster data transfers, smoother multitasking, and improved performance in demanding applications like 4K video editing, gaming, and data processing. Compatible with 12th and 13th Gen Intel Core processors and AMD Ryzen 7000 Series CPUs, this memory kit provides the performance needed for modern laptops. With 32GB of capacity, you can handle memory-intensive tasks and run multiple applications at once without slowdowns. This DDR5 RAM is also more energy-efficient than previous generations, allowing for longer-lasting system performance. This Crucial DDR5 32GB module kit supports Intel XMP 3.0 and AMD EXPO, enabling easy overclocking for enthusiasts looking to game at higher frame rates and/or maximize their system's potential. Installation is easy—just plug in the memory, and your laptop will be ready to handle the most demanding workloads. .