Edge computing dominates the tech industry today and in the future. Edge computing has revolutionized the way data is processed and delivered across multiple devices worldwide. Edge computing continues to grow due to the rapid growth in IoT devices and the 2innovations of new applications that require real-time computing power.
The technology was initially developed to support IoT devices that connect to the internet and receive and send data to the cloud. Edge computing is now one of the most sought-after languages.
It can be used on a variety of platforms and devices, to generate huge amounts of data. We have listed the top edge computing devices businesses should be looking out for in 2022.
Greengrass is an edge computing platform that allows users to build, deploy and manage their device software from the edge. Customers can program their devices locally using the device, which allows them to generate data, execute machine learning predictions and send the necessary information to the cloud.
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The Cisco range 5G-driven industrial routers and IoT gateways for edge computing are well-known for providing secure, multi-access routers. The IR8100 is both advanced in its approach and dust- and water-resistant. It uses the standard, open and programmable-based APIs from the Cisco IOS XE operating system.
Nvidia, a global leader in the new tech revolution, is a microchip and GPU manufacturer. The EGX is able to boost operations in finance, manufacturing, and healthcare. Edge products from the company are suitable for intense computer workloads.
It is essential to have an uninterrupted power supply at the edge location in order to access all features of an edge computing device. This is an enterprise-class power backup solution for edge computing devices. Customers can pair this device with the Eaton Gigabit Network Card. This card is compliant with cybersecurity standards.
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This rugged, convertible edge system uses built-in AI/ML capabilities to generate insights from data at the extreme edge. It includes video analytics, data reduction and visualization.
This ASIC is purpose-built to run AI at the Edge and provide high performance in a compact physical and power footprint. This device can be used by customers to create high-quality machine-learning interference at the edge.
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It is a high-quality edge computing device under Microsoft’s Azure Stack Edge portfolio aimed to deliver hardware-as-a-service. This device can be used to solve edge computing and machine learning problems.
The Dell PowerEdge XR11/XR12 are built to withstand adverse conditions and are great for edge computing. This is because the sensors are able to automatically monitor and manage thermal activity. Extreme temperatures will not be an issue.
The APC Smart UPS Ultra is 2.4x more powerful and half as heavy than the previous model. This allows for more space for edge applications.
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These are edge devices that Lenovo makes. They’re powerful and able to handle the information processing and security requirements. This device is suitable for many applications that require more data processing and analytics.
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