samsung storage devices: Samsung launches Portable SSD T7 and 870 QVO SSD storage device, price starts at Rs 9,999
Expanding its range of storage devices, electronics brand Samsung has launched Portable SSD T7 and 870 QVO SSD in India. While the Samsung Portable SSD T7 is an external storage device, the Samsung 870 QVO SSD is said to be the world’s largest SSD device with a capacity of up to 8TB. Both the storage devices come with a three-year warranty. Price and availabilitySamsung Portable SSD T7 comes in three storage capacities — 500GB, 1TB and 2TB. These are priced at Rs 9,999, Rs 17,999 and Rs 29,999, respectively. One can choose from three colour options: Metallic Red, Indigo Blue and Titan Gray. Samsung 870 QVO SSD device, on the other hand has four models- 1TB, 2TB, 4TB and 8TB priced at Rs 9,999, Rs 19,999, Rs 39,999 and Rs 74,999, respectively. While the Samsung Portable SSD T7 is already available across offline and online channels, the 870 QVO SSD device will go on sale from July 20. FeaturesSamsung’s Portable SSD T7 is equipped with USB 3.2 Gen 2 standard and holds up to 2TB of data. The portable SSD T7 can reach maximum read and write speed of 1,050MB/s and 1,000MB/s, respectively. It is powered by PCIe NVMe interface and is claimed to be nearly twice as fast as its predecessor. On the design front, the drive features durable and shock-resistance technology. For data security, it is equipped with AES 256-bit hardware encryption for better security. Utilizing the DTG (Dynamic Thermal Guard) and ePCM (Encapsulated Phase Change Material), the new device protects user data from thermal damage by maintaining optimal operating temperature to avoid low-temperature burns. The 870 QVO SSD is a second-generation quad-level cell (QLC) flash drive with a read and write speed of up to 560 MB/s and 530 MB/s, respectively. Samsung says that the 870 QVO provides 13% improved random read speed compared to its predecessor. It is equipped with 9x layer V-NAND characteristics and a refined new controller with an advanced ECC algorithm.