Corsair
DDR5 · 5600 MT/s · CL40 · 2×16GB
Lowest price in GB across retailers
The RGB variant of Vengeance carries the same aluminium build as Corsair's plain DDR5 kits, with an addressable lighting bar added across the top of each module — every kit in this family includes it, controllable through Corsair's iCUE software or a compatible motherboard sync utility. Buyers choosing between the RGB and non-RGB versions are otherwise looking at comparable memory underneath.
Every listing here is rated 5600 MT/s CL40, so unlike some sibling families the differences are entirely about capacity and 2×16GB layout rather than clock speed or latency. That still matters for compatibility — a four-module kit asks more of the memory controller than the equivalent capacity split across two sticks, and dual-rank behaviour can differ between them.
This is unbuffered, non-ECC UDIMM DDR5. As with any DDR5 kit, the rated speed only applies once the EXPO or XMP profile is applied; at JEDEC defaults it will run considerably slower.
Flare X5 is a heatspreader-only DDR5-6000 line built for clearance-constrained builds, and within this 6000 MT/s grade every listing shares that one headline speed — the CL bin and capacity are the only things actually separating listings.
FURY Beast at 6000 spans three CL grades under one name plus a four-module 64GB option its 5600 sibling doesn't offer, which makes matching the exact SKU more important here than with most families.
DDR5 doubled the bandwidth and moved power regulation onto the module. Whether that is worth paying for depends entirely on which platform you are building.
Crucial Pro trades looks for a compatibility-first, overclocking-headroom pitch, and within this 6400 MT/s grade, CAS latency -- not the shared headline speed -- is the number that actually separates one listing from another.
16 GB is no longer comfortable, 32 GB is the sensible default, and 64 GB is a workload decision rather than a future-proofing one.
Capacity avoids stutter caused by running out of memory; speed affects how efficiently the CPU feeds data to the GPU. They solve different problems, and buying enough of the first one before spending on the second is the right order.