Many connected devices and digital services, generating a huge amount of new data. These data must be stored and analyzed very quickly to make it useful. This creates a challenge for the service providers and system builders who must balance cost, power and performance when they design the memory and storage solutions. Many industries have searched for the best way to reduce the lag time between the processor and data to allow much faster analysis. To utilize all the data and to meet all the requirements, the Intel and Micron introduced a new class of non-volatile memory (3D XPoint technology).
The 3D XPoint technology is developed to fulfill the need for non-volatile, high-performance, high-endurance and high-capacity storage and memory at low cost. Its transistor less cross point architecture creates a three dimensional checker board, so data can be written and read in small sizes which leads to faster and more efficient read/write processes. This technology provides 1000 times greater endurance than NAND and 10 times denser than the conventional memory.
This technology can turn the enormous amount of data into valuable information in NanoSeconds. Its performance benefits also enhance the PC experience, i.e., it allows the consumers to enjoy faster interactive social media and collaboration and also more immersive gaming experience. The non-volatile nature of this technology also makes it a great choice for a variety of low-latency storage applications, since data is not erased when the device is powered off.
Cross Point Structure: perpendicular wires connects submicroscopic columns. The individual memory cell can be addressed by selecting its top and bottom wire.
The Stackable: The thin layers of memory can be stacked to improve the density.
Non Volatile: It means data doesn’t go away when the power goes.
High endurance: This technology is not significantly impacted by the number of write cycles it can undergo. So it makes it as more durable.
The retailer can identify the fraud detection patterns in the financial transactions by using this technology.
With the help of this technology the Healthcare researchers can process and analyze large data sets in real time.
Accelerating complex tasks such as genetic analysis and disease tracking.
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