Notes
Test and System Configuration for footnotes 1-6: Testing by Solidigm. Mainboard: Solidigm Server Board S2600WFT, Version: R2208WFTZS, BIOS: SE5C620.86B.00.01.0014.070920180847, Platform architecture: x86_64, CPU: Intel Xeon® Gold 6140 CPU @ 2.30GHz, CPU Sockets: 2, RAM Capacity: 32G, RAM Model: DDR4, OS version: centos-release-7-5, Build id: 1804, kernel: 4.14.74, NVMe Driver: Inbox, Fio version: 3.5, G4SAC PCIe Gen4 switch PCIe card (Microsemi). Solidigm SSD D5-P5316 was tested on ACV10100 firmware. Testing as of March 2021.
[1] Sequential read performance based on Solidigm SSD D5-P5316 compared to Seagate Exos X18 (www.seagate.com/files/www-content/datasheets/pdfs/exos-x18-channel-DS2045-1-2007GB-en_SG.pdf).
[2] Up to 2x higher sequential read - Comparing 128K sequential read bandwidth between Solidigm SSD D5-P5316 15.36TB (7.0 GB/s) and Solidigm SSD D5-P4326 15.36TB (3.2 GB/s).
[3] Up to 38% higher random read - Comparing 4K random read between Solidigm SSD D5-P5316 15.36TB (800K IOPS) and Solidigm SSD D5-P4326 15.36TB (580K IOPS)
[4] Up to 48% better latency performance at 99.999%: Source-Solidigm product specification. Comparing measured performance for 4KB Random Read, QD1 latency performance at 99.999% between Solidigm SSD D5-P5316 15.36TB with Solidigm SSD D5-P4326 15.36TB. Measured performance are 600us and 1150 us for Solidigm SSD D5-P5316 and Solidigm SSD D5-P4326 respectively. Percentage change is 48%.
[5] Up to 5x higher endurance gen over gen - Comparing endurance (64K random write) between Solidigm SSD D5-P5316 30.72TB (22,930 TBW) and Solidigm SSD D5-P4326 15.36TB (4,400 TBW).
[6] Up to 20x Reduction of Warm Storage Footprint. With 4TB HDD drive, it takes 10 (2U) of rack space to fill up 1PB or storage. With Solidigm SSD D5-P5316 30.72TB E1.L or U.2, it takes 1U of rackspace to fill up 1PB of storage. That’s up to 20x greater rack consolidation.
[7] Source: ISSCC 2015, J. Im; ISSCC 2017 R Yamashita; ISSCC 2017 C Kim; ISSCC 2018; H. Maejima; ISSCC 2019 C. Siau.
[8] Measurements were performed on components from SSDs using floating gate and charge trap flash technology. Measurement platform used was Teradyne Magnum 2 Memory test systems, and programming using random patterns and margins were quantified using customer commands. Data measured in 08/2019.
Performance varies by use, configuration and other factors. Learn more at www.Solidigm.com/PerformanceIndex.
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