NxGn Data Awarded by National Science Foundation for Storage Analytics

NxGn Data, Inc., in SSDs for the data center, has been awarded a Small Business Innovation Research (SBIR) Phase 1 grant from the National Science Foundation (NSF).

This grant will support ongoing R&D of NxGn Data’s In-Situ Processing for SSD products. With a key goal of substantially improving overall data processing performance and energy efficiency in the data center, NxGn’s In-Situ processing will enable the next generation computational capabilities that will fuel future data analytics innovation.

“We’ve made great strides in developing our fundamental SSD technology, with a working prototype now running in our lab,” stated Nader Salessi, CEO and founder, NxGn Data. “With the backing of the NSF through this SBIR grant, we can now accelerate the development of the product’s In-Situ capability. Creating open standards and a seamless integration path is critical for the widespread adoption of computational storage. This grant should go a long way towards creating a solid ecosystem in which storage analytics can flourish and further innovation can be realized.“

In-Situ processing and the idea of computational storage will mean substantial benefits in the area of data analytics. By giving each storage node the ability to process data under the explicit control of the user’s application, significant power and performance advantages can be realized. When a computational request is initiated, only the computational request and the resulting data need transfer over the storage interface, reducing the interface traffic and reducing the required power. This is critical with big data applications, where the datasets are large and transferring data over the interface can be time consuming and power intensive. The key element needed to make In-Situ processing a success is a simple but robust environment, which the NSF SBIR grant will help NxGn Data realize.