G.SKILL Trident Z5 Royal Neol Series 32GB (2 x 16GB) 288-Pin PC RAM DDR5 6000 (PC5 48000) Desktop Memory Model F5-6000J2836G16GX2-TR5NS
G.SKILL Trident Z5 Royal Neol Series 32GB (2 x 16GB) 288-Pin PC RAM DDR5 6000 (PC5 48000) Desktop Memory Model F5-6000J2836G16GX2-TR5NS
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G.skill

G.SKILL Trident Z5 Royal Neol Series 32GB (2 x 16GB) 288-Pin PC RAM DDR5 6000 (PC5 48000) Desktop Memory Model F5-6000J2836G16GX2-TR5NS

|4 ratings

Key item features

  • Trident Z5 Royal Neo Series, designed for AMD X670 Series Chipset and AMD Ryzen 7000 series CPUs or newer
  • Brand: G.Skill, Series: Trident Z5 Royal Neo, Model: F5-6000J2836G16GX2-TR5NS
  • 32GB kit containing 2 x 16GB modules, DDR5-6000, 288-Pin, CAS Latency CL28 (28-36-36-96) at 1.40V (AMD EXPO)
  • ECC: No, Dual Channel Kit, Recommended Use: High Performance or Gaming Memory
  • Memory kits will boot at the SPD speed with default BIOS settings with compatible hardware.
  • For memory kits with AMD EXPO, enable EXPO profile in BIOS to reach the rated potential EXPO overclock speed of the memory kit, subject to the use of compatible hardware.
  • Reaching the rated EXPO overclock speed and system stability will depend on the compatibility and capability of the motherboard and CPU used.
  • G.Skill QVL Certified motherboards: https://www.gskill.com/qvl/165/425/1723009556/F5-6000J2836G16GX2-TR5NS-QVL
  • Check G.Skill QVL or RAM Configurator on the G.Skill website for validated motherboards. Motherboards not listed may not be capable of EXPO or rated specifications.
  • Do not mix memory kits. Memory kits are sold in matched kits that are designed to run together as a set. Mixing memory kits will result in stability issues or system failure. Usage in any manner inconsistent with manufacturer specifications, warnings, designs, or recommendations will result lower speeds, system instability, or damage to the system or its components.
Current price is $670.00
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  • Free 30-day returns

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Sold and shipped by Sport AI
3.6666666666666665 stars out of 5, based on 24 seller reviews(3.7)
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