A revolution has been started in the industry of Solid State Drives as NGD Systems (Formerly known as NXGn Data) announced their gigantic sized “NGD Catalina“. Catalina is basically an “add-in-card” which complies with a PCIe 3.0 x4 interface. PCI Express (Peripheral Component Interconnect Express) used in this case supports a Mezzanine connector. The best part about this NGD Systems’ product is that it consumes a very minimal amount of power as compared to other such products.
About The Company
This was the first SSD experience of NGD systems. Thanks to the brilliant minds behind the newly set up company, “24 TB of Micron’s 3D TLC NAND memory” is not a dream anymore. Yes, you heard the figure absolutely right!
Ever since the start of NGD Systems in June 2013, the founders were in pursuit of developing such high-end products which were near to impossible in the past. Talking about their ambitions at the time of the start of NGD systems, they were interested in going deep down in the fields of Advanced Signal Processing, in-storage computation capability, and LDPC. Finally, they have shown the world a sample of their hard work by jumping into the SSDs development. Catalina is a masterpiece which started as an inception and ended as the finest product by the company as none of its rivals have produced such a huge product.
Talking about the specifications of the product, NGD claims that Catalina is purpose-built for read-intensive applications. Because of the fact that Catalina is using PCI express 3.0 x4 interface, it is admissible that the best read/write performance in this particular SSD is limited to 3.9 GB/s. The main card of the drive is further connected to M.2 modules with Micron’s 3D TLC NAND.
There are more than one variants in the card with 24 TB version being the best one. This version has 12 such M.2 modules. Similarly, as the capacity is decreased, the number of M.2 modules attached to the card is also decreased. The company claims that the drive utilizes a power input of 0.65W/TB which is actually the most efficient figures yet.