DC5820E | PCIe NVMe | U.2 SSD

SafeDATA technology combines unique power loss detection and hold-up circuitries with an advanced controller firmware algorithm to flush in-flight data from volatile cache to NAND Flash memory in order to safeguard data against corruption and/or loss during the sudden power loss.

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.

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.

Whether it’s a mid-size health insurance company or a large-scale e-commerce service provider, storage servers play an important role in terms of data management for any business operation. Along with the increasing amounts of data generated and transported through network connections, it’s crucial to efficiently process and store the data, while enabling data access, yet maintaining security. Whatever the use or data applications, storage servers can are used where a large amount of data is transmitted, gathered and processed for analysis and business operations.

Accelerated AI and ML workloads often require high bandwidth memory to keep up with the massive amounts of data being processed. There's a need for memory architectures that can deliver higher bandwidth to match the computational capabilities of modern accelerators. This could involve innovations in DRAM design, such as wider memory buses, faster memory interfaces, or the integration of high-bandwidth memory (HBM) technologies.

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.