Samsung MZPLK6T4HCJL-000D3 6.4TB NVMe SSD PCIe 3.0 HHHL

Samsung MZPLK6T4HCJL-000D3 6.4TB NVMe SSD PCIe 3.0 HHHL
Samsung MZPLK6T4HCJL-000D3 6.4TB NVMe SSD PCIe 3.0 HHHL
Experience extreme storage capacity and blazing fast performance with the Samsung 6.4TB NVMe SSD PCIe 3.0 HHHL. Designed for high-density servers, workstations and enterprise storage arrays, this drive delivers massive sequential read and write speed... Read More
price
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Direct ship item. 2-3 week lead time.

  • In Stock: 1
  • Manufacturer: Samsung
  • Model or Part: MZPLK6T4HCJL-000D3
  • Condition: Refurbished
  • Weight: 3.00lb

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Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

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Overview
Experience extreme storage capacity and blazing fast performance with the Samsung 6.4TB NVMe SSD PCIe 3.0 HHHL. Designed for high-density servers, workstations and enterprise storage arrays, this drive delivers massive sequential read and write speeds while maintaining low latency. The HHHL (half height half length) form factor fits compact racks and blade servers, allowing you to scale storage without sacrificing space.

Key Features

  • Massive 6.4TB capacity in a single NVMe module
  • PCIe 3.0 x4 interface for up to 5,000 MB/s sequential read
  • Up to 4,800 MB/s sequential write for rapid data transfers
  • Low power consumption with advanced thermal management
  • Enterprise grade endurance rated for 1,500 TBW
  • Half height half length (HHHL) form factor for dense installations

Technical Specifications

  • Form factor: HHHL (half height half length)
  • Interface: PCIe 3.0 x4, NVMe 1.4
  • Capacity: 6.4 TB (6,400,000 MB)
  • Sequential read: up to 5,000 MB/s
  • Sequential write: up to 4,800 MB/s
  • Random read IOPS: up to 750,000 IOPS
  • Random write IOPS: up to 700,000 IOPS
  • Endurance: 1,500 TBW
  • Operating temperature: 0 to 70 deg Celsius
  • Power consumption: typical 8.5 W active, 0.5 W idle

Applications

  • High performance computing clusters that require fast data access
  • Enterprise servers and virtualization platforms
  • Database servers with intensive read/write workloads
  • Video editing and rendering workstations handling large media files
  • Cloud storage and backup appliances needing high capacity and reliability
  • AI and machine learning environments that process large data sets