Industrial M.2 2280 NVMe SSD MEC350 Series

IOPS Performance of Silicon Power Industrial SSDs ● Silicon Power adheres to industrial standards and performance testing specifications to verify the performance of SSD devices. However, since industrial applications vary by industry, the Silicon Power team has implemented open-source utilities to evaluate IOPS performance. ● OS: Ubuntu 20.04 LTS 64bits ● Flexible I/O Tester suite (https://github.com/axboe/fio) fio-3.24 ● Block tracing utilities (http://git.kernel.dk/cgit/blktrace/) blktrace-1.2.0 ● Note: Testing Shell Script For more details, please refer to the related materials! Link: https://www.ipros.jp/news/detail/119925/attachFile/

Introduction to the Performance Benchmark of Solid State Storage (SSS) Devices The performance of Solid State Storage (SSS) devices heavily depends on the following factors: 1. Write history and preconditioning: The state of the device before testing 2. Workload pattern: The I/O pattern (R/W mix ratio, block size, access, etc.) 3. Data pattern: The actual bits of the data payload written to the device Typical SSS devices, when exposed to workloads in a fresh-out-of-the-box (FOB) state, usually experience a performance increase for a short period before transitioning to a steady state. For more details, please refer to the related materials! Link: https://www.ipros.jp/news/detail/119902/attachFile/

Many industrial applications use SSDs as the OS boot drive and for data storage that operates 24/7. Their applications range from POS terminals to mission-critical transportation/defense equipment. The high data reliability, availability, and integrity of SSDs are important for customers in the industrial sector. Silicon Power's industrial SSDs have been evaluated for durability in enterprise application cases to simulate the operation of customer applications. SSD manufacturers are expected to establish durability assessments of SSDs that represent the maximum terabytes that a host can write to the SSD using application-class specified workloads that meet the following conditions. For more details, please refer to the related materials! Link: https://www.ipros.jp/news/detail/116168/attachFile/

The future of the embedded field can be simply defined as a fusion of computer vision and edge AI. However, its implications are extensive, holding the potential to launch entirely new applications and shape the future of entire industries. The upcoming embedded systems that integrate cameras and image processing boards will bring advantages such as being compact, lightweight, low operational cost, and low power consumption. For more details, please refer to the full article here: https://bit.ly/3tkKIsR For inquiries, please contact here: https://www.silicon-power.com//web/support