Manufacturers have become increasingly reliant on cloud-based resources, such as Software-as-a-Service (SaaS) applications and data migrating from the data center to multi-cloud environments. This requires a new model for secure network access.
To cope with increasing amount of data, edge computing hardware is being deployed to alleviate the burdens placed on the cloud and data centers. So, what are the computer hardware needs for edge computing? We will answer this question in much detail.
During POC projects in the last few years, many organizations have confirmed the benefits that IIoT can bring to a wide variety of industries - and IoT spending is expected to reach $1.1 trillion by 2025, according to IDC.
Edge computing serves two main purposes: extracting signal from noise by locally processing large volumes of data that are not feasible to send across the internet and providing the ability to process specific things locally where and when latency is a concern.
Edge computing uses dedicated, on-premise resources at the shop-floor level, rather than the remote servers that cloud computing relies on. This provides a significant increase in the rate and amount of data that manufacturers can process in real-time.
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