Kingston FURY Renegade Black XMP 32GB DDR4 3600MT/s CL18 Memory Module

Overview

The Kingston KF436C18RB2/32 is a 32GB DDR4 memory module designed to enhance the speed and responsiveness of your gaming PC or workstation. Operating at 3600MT/s with a CL18 latency, it supports faster load times and smoother multitasking for demanding applications and high-performance gaming. This module is optimized for Intel platforms with XMP support but also offers compatibility with AMD Ryzen systems, making it a flexible option for various builds.

Its black aluminum heat spreader efficiently dissipates heat while providing a clean and professional look inside your computer case. With a single 32GB stick, you gain ample memory capacity now while preserving slots for future upgrades. Running at 1.35V, this 288-pin non-ECC unbuffered DIMM balances power efficiency with high-speed performance, suitable for both gaming enthusiasts and professionals.

Key features

• High-speed 3600MT/s operation with CL18 latency for responsive system performance
• Intel XMP certification ensures easy overclocking and stable performance on compatible platforms
• Compatible with AMD Ryzen systems, providing versatility across popular CPU architectures
• Black aluminum heat spreader helps maintain optimal temperatures during intense workloads
• Single 32GB module design allows for significant memory capacity while keeping upgrade options open
• Operates at 1.35V to deliver efficient power consumption without sacrificing speed

Key specs

• Memory capacity: 32 GB
• Memory type: DDR4
• Speed: 3600MT/s
• CAS latency: CL18
• Voltage: 1.35V
• Pin count: 288-pin
• Module type: Non-ECC unbuffered DIMM
• Heat spreader: Black aluminum

Compatibility and usage

This memory module is well suited for users building or upgrading gaming PCs and workstations that demand high memory capacity and speed. Its Intel XMP certification simplifies tuning on Intel platforms, while its compatibility with AMD Ryzen systems ensures broad usability. The single-module format is ideal for those who want to maximize current memory while leaving room for future expansion.