CORSAIR Vengeance 64GB (2 x 32GB) 288-Pin PC RAM DDR5 6400 (PC5 51200) Desktop memory Model CMK64GX5M2B6400C32

The CORSAIR Vengeance CMK64GX5M2B6400C32 is a 64GB (2 x 32GB) DDR5 desktop memory kit rated at 6400 MT/s with CL32 timings, suited to gaming and high-performance PC builds that need substantial memory capacity and speed.

Recommended For

• Intel DDR5 desktop builders who need 64GB for memory-heavy creative work—such as rendering, content creation, or running several demanding applications—and want a two-module kit with an Intel XMP profile.
• Intel PC users who regularly keep many browser tabs, work apps, or background tasks open and want 64GB rather than a smaller-capacity kit.
• Intel gaming-PC builders who also run memory-intensive games, mods, streaming, or other applications alongside gameplay and have a use for 64GB.
• Intel desktop builders who prefer a two-stick 64GB configuration, rather than filling four memory slots to reach that capacity.

Real-World Use Scenarios

• When rendering a scene with Blender on a compatible Intel DDR5 desktop, this kit pairs 64GB of memory with high-speed XMP settings; in Phoronix’s CPU-only Blender test, this exact kit was the fastest of the memory kits tested. Actual render times also depend on the CPU and project.
• When compiling a large software project, the 64GB capacity can leave room for build tools and other applications to run together. In a timed LLVM compilation benchmark, Phoronix found this exact kit was the fastest among the memory kits tested; results will vary with the processor and build.
• For desktop users running memory-intensive scientific workloads, such as molecular-dynamics simulations, the kit offers 64GB across two modules. Phoronix tested this exact kit with NAMD; that benchmark result indicates performance in that test setup, not a guaranteed improvement for every simulation.
• When editing or creating content while keeping several large applications and project files open, 64GB can provide more memory headroom than a smaller kit. This is most useful when the workload would otherwise run short of RAM; memory capacity alone does not guarantee faster exports or renders.

Spec Summary