Registered memory module | Computersfrom 337 to 524
Active Filters
from 337 to 524 Computers
The ADATA Lancer Blade is a high-performance 32 GB memory module consisting of two 16 GB DDR5 6000 MHz ECC modules, providing fast and reliable computing for demanding applications.
The ADATA Lancer Blade is a high-performance 32 GB memory module consisting of two 16 GB DDR5 6000 MHz ECC modules, providing fast and reliable computing for demanding applications.
The ADATA XPG Lancer Blade is a 32GB memory kit that includes two 16GB DDR5 modules with speeds of 6400 MHz. It is designed for gaming and other high-performance applications, and supports ECC error correction and XMP 3.0 overclocking profiles.
Elevate your gaming rig with the ADATA Lancer Blade RGB memory module, featuring a 32 GB kit at a blazing speed of 6000 MHz. This DDR5 RAM offers dynamic RGB lighting and robust performance to match modern computing demands.
Elevate your gaming rig with the ADATA Lancer Blade RGB memory module, featuring a 32 GB kit at a blazing speed of 6000 MHz. This DDR5 RAM offers dynamic RGB lighting and robust performance to match modern computing demands.
This product is a 16GB DDR4 memory module compatible with Synology devices like SA3400, FlashStation FS3400 and FS6400. It operates at a frequency of 2666 MHz, is ECC registered, has a voltage of 1.2V, and features a 288-pin DIMM form factor.
The Hewlett Packard Enterprise P00924-B21 memory module is a 32GB DDR4 memory with a speed of 2933MHz.
Boost your PC's performance with the G.SKILL Trident Z5 RGB DDR5 32GB kit. Experience lightning-fast speeds and stunning RGB lighting for ultimate gaming and multitasking
High-performance G.SKILL Ripjaws S5 DDR5 memory kit, 32 GB total (2×16 GB), 6000 MT/s speed, CL36 latency, 1.35V, matte black design, optimized for Intel 3.0 platforms and demanding desktop workloads.
High-performance G.SKILL Ripjaws S5 DDR5 memory kit, 32 GB total (2×16 GB), 6000 MT/s speed, CL36 latency, 1.35V, matte black design, optimized for Intel 3.0 platforms and demanding desktop workloads.