QP6700 | PCIe NVMe | M.2 2230 SSD

SMART’s Advanced Error Detection & Correction technology reinforces the ECC (Error Code Correction) engine and utilizes RAID (Redundant Array of Independent Disks) mechanism. Data is reconstructed by the prior stored parity in other pages. The recovered data will be stored in a new block, and the prior stored block will be refreshed.

Background Scan and Refresh can count the times of block read and relocate cold data to fresh blocks to ensure the data is always stored in the healthy blocks.

Thermal throttling is a safety feature if a drive gets too hot. Thermal sensors monitor the operating temperature of critical components. Firmware thermal throttling algorithm is activated when necessary to prevent the temperature from exceeding maximum thresholds by reducing the performance of I/O transactions until the operating temperature declines to a safe level.

Wear-Leveling refers to the practice of ensuring certain NAND blocks aren’t written and erased more often than others. By preventing the overuse of particular blocks which could lead to device failure or data loss, Wear-Leveling therefore improves the life expectancy and endurance of Flash products.

Flash-based storage devices are different in the way they deal with previously deleted data compared to traditional disks. Data must be erased first before new data can be written to the same block in SSDs. Garbage Collection copies in-use data to a new block, and then deletes all data from the old one.

TRIM is a command with the help of which the operating system can tell the SSD which blocks are no longer needed and can be deleted, or are marked as free for rewriting. With the TRIM command, it not only reduces the Write Amplifier Factor (WAF) but also boost the data access speeds.

From small industrial components deployed in automation systems to large equipment used for oil drilling, project operations are asked to provide precise instructions, occasionally in harsh environments. Therefore, it is critical to maintain the accuracy of data output in addition to maintaining continuous, stable operating performance.

With the rapid rise of IoT and IIoT, the demand for connectivity has transformed networking. Today’s networks are scaling at an exponential rate, processing huge amounts of data that are stored for analysis. Reliable, proven memory is vital to ensure the hyper-fast transmission of all that data, as well as storage of the data exchanged between edge devices and network hubs. Whether the scale of network is between two locations or built for thousands of connected devices in different places around the world, there will be huge amounts of data constantly being processed whenever the network is running. That is why the right memory solutions are so important – to ensure data will be processed quickly and stored securely regardless of the demand placed on the network.