RP1700 | PCIe NVMe | M.2 2242 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.

End-to-End Protection ensures data is correctly transferred at every data transfer point within an SSD by utilizing Error Correction Code (ECC) and additional protection mechanisms, such as Cyclic Redundancy Check (CRC), to detect and rectify errors.

S.M.A.R.T. is a self-monitoring system that prevents risks from unscheduled downtime by monitoring and displaying critical drive information. The indicators includes the drive’s health, status, usage info and potential disk problems.

Advanced Encryption Standard (AES) is a hardware-based encryption method for converting data from an unencrypted into an encrypted format. 256 bits encryption key length makes it virtually impossible to decrypt the data without the original key.

Trusted Computing Group (TCG) Storage Work Group created the Opal Security Subsystem Class (SSC) as one class of security management protocol for storage devices. It is the most recognized standard for self-encrypting drives (SEDs). SMART offers TCG Opal 2.0 compliant self-encrypting SSDs incorporating AES encryption for rock-solid data protection.

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.

Along with increasing amount of IT devices and systems installed in modern enterprises, more and more data is generated and transported everyday between physical equipment and virtual spaces, like the cloud. In order to efficiently and effectively store and manage these quantities of data, it’s becoming necessary to build a data infrastructure that can accommodate in-house data centers or that can be outsourced to cloud service providers. Whether the data infrastructure is internal or external, the main purpose is to gather process and store the data under stable and secure conditions to ensure uninterrupted operation for the enterprises.

High Performance Computing (HPC) represents a leading solution being used to model and understand complex issues such as weather, agriculture, and space. HPC applications require the ability to process data and perform complex calculations at high speeds in limited timeframes. For applications such as AI machine/deep learning, data analysis, or medical research, HPC can process massive amount of data in real time. As HPC increases, so will the demands for high performing and reliable memory to deliver on expectations.

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.