Why edge clouds

DIGITAL TRANSFORMATION REQUIRES A NEW CLOUD

IoT and Edge Computing devices are quickly becoming demanding, resource hungry beasts. Waiting for data or answers from public clouds is not an option. The Edge is all about executing the closed loop – sensing, analyzing, acting. And it has to be in less than the blink of an eye.

Edge Clouds deliver resources – compute, storage, networking – in the right place, in the right amount, at the right time, with integrated connectivity.

WHEN PERFORMANCE MATTERS

Autonomous platforms such as self-driving and intelligent cars need instantaneous access to applications and data to make critical decisions for safety, navigation, and security. Or maybe it’s just ensuring smooth transition between cell towers for uninterrupted delivery of video for the kids in the back seat. Edge Clouds put resources close at hand to reduce latency and ensure maximum platform performance.

ON-DEMAND, ELASTIC
RESOURCES

Applications such as video surveillance create massive amounts of data that need to be processed locally for facial recognition, fraud detection, anomaly detection and security. Sampling, blanking, blurring, tagging and indexing all need to occur locally. Edge Clouds allow for expansion and contraction of resources that flex with the surrounding conditions.

AGILITY, REUSABILITY, CHOICE

Across all industries, digital transformation is driving demand for integrated solutions that are comprised of different applications and services – not just proprietary single-vendor devices. Edge Clouds provide an open platform that enables enterprises and service providers to deliver reusable infrastructure that can support a wide variety of best-of-breed products from different suppliers.

EFFICIENCY AND SUSTAINABILITY

Companies are faced with the challenge of increasing operational efficiency and increasing the lifespan of assets and business processes. Edge Clouds deliver flexible resources for the creation of digital twins that enable real-time simulation of devices, systems and processes. Processing data locally, digital twins reduce the dependency on back-end clouds and shorten the response time for mission- and life-critical applications.

EDGE ANALYTICS AND MACHINE LEARNING

Edge applications generate massive amounts of data from sensors and IoT devices. This data gains value when deep analytics and machine learning are applied. Sending all data to back-end public clouds is inefficient and introduces security and privacy issues. Edge Clouds deliver scalable compute, storage and networking that enables the applications to process data locally and make decisions quickly.

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