EXPERT OPINION depends on low latency . Augmented Reality , Virtual Reality and most Industry 4.0 IoT implementations require latency as low as 1ms to 10ms .
Similarly , the need for low latency and processing of high volumes of data in AI and Machine Learning applications excluded many regional locations from their immense benefits before the Edge . Now , however , once AI models are trained on the data , businesses deploying AI applications can process large amounts in an Edge data centre close to their location , reducing the costs of backhaul to the main hyperscalers ’ hubs .
This , for example , opens the door to Industrial IoT applications such as digital twin technologies that reshape oil , gas and mineral extraction processes , logistics operations and manufacturing .
The need for a nationwide Edge platform
However , the success of this major shift in computing capability depends on certain key elements . These include a functioning ecosystem that encompasses the telcos and communications service providers , along with the public cloud companies and specialists in microservices , containerisation , virtualisation and related fields . Above all , it requires a scalable national network of Edge data centres to ensure every end-user , regardless of location , has low latency , high-bandwidth connections to their Edge workloads and their data in the public or private cloud .
Situated between the on-ramp to the public cloud and network-to-network interfaces with the telecoms providers , Edge data centres enable the hyperscalers
Simon Michie , CTO , Pulsant
to expand coverage . They are also well-equipped to facilitate the trend for hybrid and multi-cloud models that many enterprise customers deploy to gain flexible access to the cost , performance and security advantages of different providers and environments .
The bottom line is that through Edge data centres , businesses can easily employ hyperscale cloud vendors to power their www . intelligentdatacentres . com
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