Samsung PM1653 3.84TB 2.5" SAS SSD - 24Gb/s 4200 MB/s Enterprise SSD - MZ-ILG3T80

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The Samsung PM1653 3.84TB is a high-performance SAS-4 (24Gb/s) Enterprise SSD designed for read-intensive server workloads. Featuring advanced 6th Gen V-NAND technology, it delivers sequential read speeds of up to 4,200 MB/s and random read IOPS up to 800,000, ensuring maximum throughput for data-heavy enterprise environments.

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The Samsung PM1653 3.84TB Enterprise SAS SSD represents a significant leap in data center storage, utilizing the advanced 24G SAS (SAS-4) interface. Designed to double the throughput of previous 12G SAS generations, the PM1653 is optimized for high-density server deployments and read-intensive applications. Powered by Samsung’s proprietary controller and 6th generation V-NAND technology, this drive provides the massive bandwidth and ultra-low latency required for modern hyperscale data centers and demanding cloud infrastructures.

Engineered for mission-critical reliability, the PM1653 features a dual-port design that ensures continuous data availability even if one port experiences a failure. This redundancy is essential for high-availability enterprise storage arrays and database servers. With a massive capacity of 3.84TB, it provides an efficient balance of storage density and high-speed performance, delivering up to 4,200 MB/s sequential read speeds and exceptional random read IOPS to eliminate system bottlenecks.

  • Enterprise SAS-4 Interface: Delivers up to 24Gb/s transfer rates, offering backward compatibility with 12G SAS systems.
  • High-Speed V-NAND: Utilizes Samsung 6th Gen V-NAND TLC for improved power efficiency and sustained high performance.
  • Mission-Critical Reliability: Dual-port support for high availability and a Mean Time Between Failures (MTBF) of 2.5 million hours.
  • Enterprise Security: Supports hardware-based AES 256-bit encryption to protect critical business data at rest.
  • Workload Optimized: Rated at 1 Drive Write Per Day (DWPD) over 5 years, ideal for read-intensive enterprise workloads.

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