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EDGE COMPUTING

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Amdocs, a leading software and service provider to communications and media companies, has bought an Ireland based Digital BSS company, Openet, that provides charging, policy and data solutions. Two years after their heated legal dispute, the telecom software company Amdocs has ended the litigation by finally licensing a number of Openet patents. As the telecommunications sector has been trending towards digital transformation for some time now, the merger between the two companies will provide exceptional and wide-ranging opportunities for both enterprises. In recent years, the Ireland-based company, Openet, developed modern cloud-based software and 5G products that are recognised around the world for their innovation. The amalgamation of the two companies is said to offer Amdocs‘s customers advances in 5G technologies, cloud, edge computing and Internet of Things (IoT), as well as an elevated customer experience, policy and data management expertise. Shuky Sheffer, CEO of Amdocs Management, commented:…

Hailo raises $60 million to accelerate the launch of its AI edge chip Israeli startup Hailo has raised further USD 60 million in series B funding for artificial intelligence (AI) chips, bringing its total financing to date to USD 88 million. This round, led by existing investors, was joined by strategic investors including ABB Technology Ventures, NEC Corporation, and London-based Latitude Ventures. Hailo said the new funding will help to roll out its Hailo-8 Deep Learning chip and to reach new markets and industries worldwide. The Hailo-8 could give edge devices far more processing power than before, allowing them to perform AI tasks without having to connect to the cloud. The company was founded in 2017, and its technology is designed for the automotive market, smart cameras, smartphones, drones and AR/VR platforms. Read more at https://tinyurl.com/tbwyjnb Ericsson starts manufacturing of 5G base station in Texas Sweden’s Ericsson, one of the…

The American chipset manufacturer Nvidia is rolling out its EGX platform to bring real-time artificial intelligence (AI) to the edge of the network. Nvidia EGX is an accelerated computing platform, which boasts low-latency AI that enables companies to perceive, understand and act in real time on continuous streaming data between 5G base stations, warehouses, retail stores, factories and beyond. AI computing will occur at the edge of the network, where sensors collect data before it is sent to cloud-connected data centers. This platform is expected to satisfy the increasing demand for AI applications to assist numerous devices streaming continuous raw sensor data and is designed for high-throughput AI at the edge where data is primarily sourced to achieve instantaneous and guaranteed response times while reducing bandwidth to the cloud. According to the company, by 2025, there could be up to 150 billion machine sensors and the Internet of Things (IoT) devices streaming…

Verizon has announced a successful edge computing trial on a live 5G network, conducted using their newly formed 5G test bed in Houston. The company’s engineers used Multi-Access Edge Compute (MEC) equipment and MEC platform software, incorporated in a network facility closer to the network edge, and managed to decrease network latency by half. The test results are important for next generation networks, enabling 5G to support low-latency applications such as Virtual Reality (VR). Low latency refers to minimizing the round-trip time taken by data packets. This is an essential yet enormously challenging attribute for a 5G network, and its high performance requirements. At present, many mobile applications depend on cloud-based processing that is handled in centralized data centers, and the physical distances involved increase latency. According to Verizon, locating the computing power nearer to the users at the network edge significantly decreases the time to deliver services. …