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Neocortix Launches First Commercial “Cloud at the Edge” Service


Cell Phone Owners Around the World Get Paid for Allowing Their Phones to be Used as a Collective Supercomputer

Neocortix, the first commercial “Cloud at the Edge” provider, is launching Neocortix Cloud Services at DevOps World | Jenkins World. This new disruptive technology benefits large website owners, load test vendors and anyone else who needs cloud services by eliminating the high costs associated with large and costly data centers. In this shared economy, Android cell phone owners can make $240 per-phone per-year for use of their phones while they are charging at night, a substantial income for many consumers worldwide.

Neocortix’s PhonePaycheck is a secure, encrypted application that enables the company’s Cloud at the Edge Services while not compromising a user’s personal data, photos, social media, and does not drain batteries or raise phone bills. It has gone viral worldwide since it was first made available over two years ago. Nearly 29,000 users around the world, including India, Australia, Indonesia, North and South America, have more than 42,000 devices running the app; and there is a waiting list to join.

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“Cloud at the Edge enables exciting new applications for customers,” said Lloyd Watts, founder and CEO, Neocortix. “By tapping into cell phone processors, we are leveraging a shared economy and bringing cloud computing resources closer to the data generation source, giving major website owners, load test vendors, E-commerce component- and machine learning companies, a more cost- efficient and reliable service than traditional data center-based cloud platforms can offer.”

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According to a September 2018 Gartner Trend Insight Report titled: “The Edge Completes the Cloud,” Analysts Bob Gill and David Smith outline how edge computing delivers the decentralized complement to today’s hyperscale cloud and legacy data centers. The analysts claim that to “maximize application potential and user experience, EA and technology innovation leaders need to plan distributed computing solutions along a continuum from the core to the edge.”

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