Kingston Fury Beast 32GB DDR5 RAM 6000 MHz ECC CL36 288-Pin-0

Kingston Fury Beast DDR5 RAM 32GB 6000MHz CL36 ECC 288-Pin Desktop DIMM

Kingston

  • €549,00
    Unit price per 
Shipping calculated at checkout.
Our prices stay low thanks to a direct fulfillment model — no middlemen, no retail markups.

Only 6 left!
    🎉SHIPPING Promotion: 9.99 EUR to whole EU – Limited Time Only

    Estimated shipping: 5-10d within Europe 🔵
    Please read before buying: Order realization
    Sales market: Europe
    Warehouse location: Europe
    Stock level: 6
    Warranty: 24 months
    Product vendor: Kingston
    Product EAN: 0740617333374

    Check related tags: 14, EAN Electronics, RAM


Product Description
Upgrade your system with Kingston Fury Beast 32GB DDR5 RAM at 6000 MHz. This high-performance memory kit delivers exceptional speed and capacity for demanding multitasking, gaming, and content creation workflows. Designed for modern desktops, the 32GB kit (2 x 16GB) enables smoother application switching, faster load times, and improved overall system responsiveness. Precision-built by Kingston, Fury Beast modules feature robust heat spreading and reliable ECC compatibility to support stable operation in compatible platforms. Whether you're pushing memory-bound workloads or simply seeking a responsive, future-proof PC, these DIMMs help you harness the full potential of DDR5 technology.

Technical Specification
- Brand: Kingston
- Series: Fury Beast
- Type: DDR5 DIMM
- Capacity: 32GB (2 x 16GB)
- Speed: 6000 MHz
- ECC: Yes (Error-Correcting Code)
- Pin count: 288-pin
- CAS Latency: CL36
- Voltage: 1.35V (typical)
- Form factor: Desktop DIMM
- Unbuffered: Yes
- Heat spreader: Yes
- Compatibility: Intel and AMD desktop platforms supporting DDR5
- RGB: Not specified (no RGB indication)
- Modules: 2
- Bus organization: 2 x 16GB
- Warranty: Limited warranty (as provided by Kingston)

Note
The product description and technical specification should be verified on the vendor's website to ensure the latest information.



We Also Recommend