Fog Computing
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NGD Systems, a storage pioneer creating intelligent solid state drives (SSDs) for the cloud data center, announces it has joined the OpenFog Consortium, the global organization that is driving advancements in fog computing in order to solve the latency, bandwidth, and communications challenges associated with IoT, 5G communications, and artificial intelligence.

Fog computing is an emerging horizontal architecture for computing, storage, control, and networking that distributes these key services closer to end users along the cloud-to-things continuum. The OpenFog Consortium is a public-private ecosystem, formed to create an open framework architecture for efficient and reliable networks and intelligent endpoints combined with identifiable, secure, and privacy-friendly information flows between clouds, endpoints, and services, all based on open standard technologies.

“With its pioneering work in bringing computation to the storage device itself, NGD Systems is adding immediate value to the work around intelligent endpoints to drive down latency – a critical part of the OpenFog architecture,” said Helder Antunes, Chairman of the OpenFog Consortium. “Their work in storage will be highly valuable as we develop the OpenFog framework architecture and use cases that will ultimately lead to real innovation in areas such as autonomous vehicles, drone deliveries, and more.”

At the heart of the company’s SSD solution is its patented data processing technology, called In-Situ Processing, which executes on the data residing in the storage device, rather than moving the data out of storage into the processor subsystem for analysis. This processing ensures low latency, lowest power consumption with higher performance.

“NGD Systems is dedicated to collaborating with other technical evangelists in the advancement of fog computing,” stated Nader Salessi, Founder and CEO of NGD Systems. “Our work with the OpenFog Consortium will allow us to leverage our capabilities in storage and the computation of data directly in storage, and will offer greater enhancements to the fog computing architecture.”

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