NOS Launches Mobile Edge Computing on 5G Network in Portugal

Portuguese Telecom Provider Launches MEC on 5G Network in Partnership with Google Cloud.

Highlights

  • NOS claims to be the first in Portugal to launch Mobile Edge Computing on its 5G network.
  • Leveraging Google Distributed Cloud and Nvidia GPUs for low-latency performance and high processing capacity.
  • MEC improves response times for critical applications such as autonomous vehicles and drones.

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NOS Launches Mobile Edge Computing on 5G Network in Portugal
Portuguese telecommunications provider NOS has claimed a national first by developing and launching Mobile Edge Computing (MEC) on its 5G network. Developed in partnership with Google Cloud, the new MEC solution enables near real-time data processing by bringing computing power closer to users, resulting in significantly faster response times.

Also Read: Nos Launches 5G Standalone in Portugal




Collaboration with Google and Nvidia

NOS says that by leveraging Google Distributed Cloud and image and video processing enabled by Nvidia GPUs, its cloud-native MEC solution offers low-latency performance and high processing capacity, allowing for the simultaneous management of multiple applications. Initial use cases include video streaming and AI-driven computer vision, where fast data processing is essential for optimal performance.

NOS emphasised, "MEC is another step in the 5G evolution journey, which NOS has been leading in Portugal since the very beginning. We believe that this new solution will facilitate a series of applications that require real-time processing in key sectors such as healthcare, public safety and industry. We will continue to drive the country's technological development, using the best partners, such as Google Cloud."

Also Read: Cellnex Portugal Plans Acquisition of Six Telecom Towers from NOS Technology

Real-World Applications of MEC

MEC enables data processing locally, improving response times essential for critical applications such as autonomous vehicles, drones, and real-time video analysis, the operator said.

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