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Lenovo THINKSYSTEM 2.5 15MM U.3 PM1743 3.84TB READ INTENSIVE 4XB7A82411

Original price was: $2,599.00.Current price is: $2,274.49.

THINKSYSTEM 2.5 15MM U.3 PM1743 3.84TB READ INTENSIVE

Description

Lenovo ThinkSystem PM1743 3.84 TB Solid State Drive – 2.5″ Internal – U.3 (PCI Express NVMe 5.0 x4) – Read Intensive – Server Device Supported – 1 DWPD – 7008 TB TBW – 14000 MB/s Maximum Read Transfer Rate – 1 Year Warranty [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ]

The ThinkSystem PM1743 Read Intensive NVMe PCIe 5.0 SSDs, available in capacities up to 15.36TB, are general-purpose yet high-performance NVMe PCIe Gen 5 SSDs. Available in both 2.5-inch and E3.S EDSFF form factors, they are engineered for greater performance and endurance in a cost-effective design, and to support a broader set of workloads. Now with SED encryption as standard, these drives help ensure data security, even when the drive is removed from the server.

This product guide provides essential presales information to understand the PM1743 SSDs and their key features, specifications, and compatibility. This guide is intended for technical specialists, sales specialists, sales engineers, IT architects, and other IT professionals who want to learn more about the SSDs and consider their use in IT solutions.

Direct PCIe 5.0 x4 connection for each NVMe drive, resulting in up to 14 GBps overall throughput, compared to 7.5 GBps for a PCIe 4.0 connection. Also supports PCIe 4.0 and 3.0 host connection for servers with 3rd, 2nd or 1st Gen Intel Xeon Scalable processors or with PCIe 3.0/4.0 NVMe switch adapters Read-intensive SSD from Samsung using TLC flash technology Advanced ECC Engine and End-to-End Data Protection Samsung’s SSD virtualization technology allows a single SSD to be subdivided into smaller SSDs, up to 64, providing independent virtual workspaces. It also enables SSDs to take on certain tasks typically carried out by the server CPUs, such as Single-Root I/O Virtualization (SR-IOV), requiring fewer server CPUs and SSDs. V-NAND Machine Learning enables the SSD to accurately predict and verify cell characteristics, as well as detect any variations in circuit patterns. Fail-In-Place technology ensures the SSD operates normally even when errors occur at the chip level. It allows the SSD to identify failing NAND cells, and actually recover then relocate the data without interrupting normal operations or impacting performance.

Additional information

Dimensions 7.5 × 5.25 × 2.5 cm