Edge computing in the context of "5G"

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👉 Edge computing in the context of 5G

5G is the fifth generation of cellular network technology and the successor to 4G. First deployed in 2019, its technical standards are developed by the 3rd Generation Partnership Project (3GPP) in cooperation with the ITU’s IMT-2020 program. 5G networks divide coverage areas into smaller zones called cells, enabling devices to connect to local base stations via radio. Each station connects to the broader telephone network and the Internet through high-speed optical fiber or wireless backhaul.

Compared to 4G, 5G offers significantly faster data transfer speed—up to 10 Gbit/s in tests—and lower latency, with response times of just a few milliseconds. These advancements allow networks to support more users and applications such as extended reality, autonomous vehicles, remote surgery trials, and fixed wireless access for home Internet access. 5G also supports massive connectivity for sensors and machines, commonly referred to as the Internet of things (IoT), and leverages edge computing to improve data processing efficiency.

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Edge computing in the context of Nvidia

Nvidia Corporation (/ɛnˈvɪdiə/ en-VID-ee-ə) is an American technology company headquartered in Santa Clara, California. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, it develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, and mobile and automotive applications. Nvidia has been described as a Big Tech company.

Originally focused on GPUs for video gaming, Nvidia broadened their use into other markets, including artificial intelligence (AI), professional visualization, and supercomputing. The company's product lines include GeForce GPUs for gaming and creative workloads, and professional GPUs for edge computing, scientific research, and industrial applications. As of the first quarter of 2025, Nvidia held a 92% share of the discrete desktop and laptop GPU market.

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Edge computing in the context of Embedded Linux

The Linux operating system is prevalent in embedded systems. As of 2024, developer surveys and industry reports find that Embedded Linux is used in 44%-46% of embedded systems. Due to its versatility, its large community of developers, as well as its adaptability to devices with size and power constraints, Linux is a popular choice for devices used in edge computing and autonomous systems.

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