Registered memory module | Computersfrom 621 to 695

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ADATA XPG Gammix D35 64GB Kit, a pair of 32GB DDR4 memory modules with speeds up to 3200MHz, supports XMP 2.0 technology for easy setup and optimal performance. Enjoy fast data transfer rates and improved system responsiveness in black color.
ADATA XPG Gammix D35 64GB Kit, a pair of 32GB DDR4 memory modules with speeds up to 3200MHz, supports XMP 2.0 technology for easy setup and optimal performance. Enjoy fast data transfer rates and improved system responsiveness in black color.
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.
G.Skill Ripjaws V is a high-performance 32GB memory module with two 16GB DDR5 6000MHz modules, offering fast and reliable performance for gaming, multimedia, and more.
G.Skill Ripjaws V is a high-performance 32GB memory module with two 16GB DDR5 6000MHz modules, offering fast and reliable performance for gaming, multimedia, and more.
The G.Skill Flare X5 is a high-performance memory module with 32 GB of capacity, operating at 5600 MHz. It features DDR5 technology and is available in 2x16 GB configuration.
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.
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