Crucial 16GB DDR5 RAM, 4800MHz CL40 Desktop Memory, UDIMM 288-Pin, Compatible with 12th Gen Intel Core and AMD Ryzen 7000 - CT16G48C40U5
Product Information
About this item
- Boosts System Performance: 16GB DDR5 RAM desktop memory that operates at 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 13th 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 = UDIMM, Pin Count = 288-pin, PC Speed = PC5-38400, Voltage = 1.1V
Product Description
Upgrade your desktop memory with the Crucial 16GB DDR5 RAM (CT16G48C40U5), designed to deliver high-speed performance for gamers, content creators, and professionals alike. With speeds up to 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 13th Gen Intel Core processors and AMD Ryzen 7000 Series CPUs, this memory kit provides the performance needed for modern PCs. With 16GB 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 16GB module supports Intel XMP 3.0 and AMD EXPO, enabling easy downclocking 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 desktop will be ready to handle the most demanding workloads..
