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Verizon and Google Cloud to Collaborate to Deliver 5g Mobile Edge Computing

Verizon and Google Cloud to Collaborate to Deliver 5g Mobile Edge Computing
  • Verizon and Google Cloud are working together to bring the power of the cloud closer to mobile and connected devices at the edge of Verizon’s network.
  • Verizon 5G Edge with Google Distributed Cloud Edge intends to bring compute and storage services to the network edge to support real-time enterprise applications.
  • Ericsson will pilot 5G Edge with Google Distributed Cloud Edge at its USA 5G Smart Factory. 

Verizon and Google Cloud are working together to bring the power of the cloud closer to mobile and connected devices at the edge of Verizon’s network. With Verizon 5G Edge with Google Distributed Cloud Edge, Verizon plans to bring Google’s compute and storage services to the edge of the local network enabling the bandwidth and low latency needed to support real-time enterprise applications like autonomous mobile robots, intelligent logistics and factory automation. The companies expect that this combination of Verizon’s private On Site 5G and private 5G Edge with Google Distributed Cloud Edge will enable enterprises in industries from retail to manufacturing to unlock the power of 5G and mobile edge computing and gain operational efficiencies, higher levels of security and reliability, and improved productivity.

Verizon and Google Cloud also plan to develop public 5G mobile edge computing for developers and enterprises. The public 5G Edge solution has the potential to enable developers to build and deploy applications at the edge of Verizon’s wireless network in various locations throughout the U.S.Prediction Series Banner

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“By working with partners like Google Cloud and Ericsson, we’re building the 5G edge compute ecosystem that will enable enterprises in many industries to benefit from having a completely dedicated private network and edge compute infrastructure on premise,” said Rima Qureshi, Chief Strategy Officer at Verizon. “5G Edge with Google Distributed Cloud Edge will give our customers the ability to connect and manage a broad range of devices at scale and speed while also providing highly secure, near real-time connectivity. This will allow companies to unlock greater value from data and enable innovative applications involving computer vision, augmented and virtual reality, and machine learning.”

“Through our planet-scale infrastructure and expertise in data analytics, artificial intelligence and machine learning, Google Cloud is enabling the rapid development and deployment of new services and applications,” said Thomas Kurian, CEO of Google Cloud. “By bringing intelligence from data centers to the network edge, Verizon 5G Edge with Google Distributed Cloud Edge will allow customers to build new cross-industry edge solutions, unlock new revenue models, and transform the next generation of customer experiences – from AI-driven in-store operations to live inventory management on the factory floor, the possibilities span multiple industries.”

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Verizon and Ericsson To Pilot Private Mobile Edge Computing at USA 5G Smart Factory

Ericsson, in collaboration with Verizon, will pilot 5G Edge with Google Distributed Cloud Edge as part of a proof of concept at its USA 5G Smart Factory. The first trial use case involves Verizon’s Sensor Intelligence solution, which involves attaching a camera to an autonomous mobile robot that will scan packages to maintain inventory and location of indirect materials in the factory’s warehouse. Then, using computer vision, the robot will communicate the bar code and shipping label data via 5G and mobile edge computing to the inventory management system, providing real-time analytics to improve logistics.

“Ericsson’s Smart Factory is where we’re putting the principles of the Fourth Industrial Revolution into action,” said Niklas Heuveldop, President and Head of Ericsson North America. “Technologies like Verizon’s 5G Edge, which is built on Ericsson’s 5G Private Network technology, are critical for unlocking 5G’s true potential, and this pilot brings real-time data to make operations more efficient, secure, and cost-effective. Testing this technology with autonomous mobile robots in our Smart Factory is an important step on the journey to the factory of the future.”

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