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Edge Compute

Support Internet of Things (IoT) and co-create Artificial Intelligence (AI) capabilities by bringing near-real-time data analysis closer to where it’s needed.

Support Internet of Things (IoT) and co-create Artificial Intelligence (AI) capabilities by bringing near-real-time data analysis closer to where it’s needed.

Do business smarter

Do business smarter

Innovate with a BT-managed ‘edge cloud’ platform that moves computing power to wherever it’s needed.

  • Improve operational performance

    Achieve low latency and rapid data analysis for IoT and AI applications.

  • Reduce congestion – and costs

    Cut data traffic to core clouds, avoiding network congestion and reducing costs.

  • Solve connectivity performance issues

    Achieve practical solutions for remote commercial locations with expensive, limited, or zero cloud connectivity.

  • Improve operational performance

    Achieve low latency and rapid data analysis for IoT and AI applications.

  • Reduce congestion – and costs

    Cut data traffic to core clouds, avoiding network congestion and reducing costs.

  • Solve connectivity performance issues

    Achieve practical solutions for remote commercial locations with expensive, limited, or zero cloud connectivity.

More about Edge Compute

FAQs

Edge computing focuses on bringing computation and data storage closer to where it is needed. In traditional cloud computing, data is sent to big data centres for processing. But with edge computing, the processing happens on or near the device or ‘edge’ of the network where the data is created.

Edge computing reduces delays, enhances performance, and makes things more efficient by processing data closer to the source. This is especially important for tasks that need real-time or near-real-time processing, like Internet of Things (IoT) devices, self-driving cars, augmented reality, and other applications that are very sensitive to delays.

Edge computing involves processing data near its source, minimising latency and reducing the need for centralised cloud servers. In contrast, cloud computing relies on centralised data centres for processing, introducing potential latency due to data transmission.

Cloud computing is better for applications with less stringent latency requirements and extensive storage needs, while edge computing excels in scenarios where bandwidth usage needs to be optimised, as it processes data locally and transmits only essential information to the cloud.