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CRN's 2018 Products Of The Year

CRN editors looked at the best new products and major updates of 2018 and then turned to solution providers to choose the winners based on technology, revenue and profit opportunities, and customer demand.

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Thanks to its IoT-enabled architecture, Schneider Electric’s EcoStruxure IT Expert cloudbased monitoring offering aids with management of edge computing systems and with management of the data center. The service provides partners with real-time insight about devices, as well as visibility into historic performance. Key capabilities include live data for 24/7 visibility, data-driven insight into the health status of connected devices, and smart alarming—all of which can be delivered to a smartphone or tablet. Andrew Isch, account executive for Towson, Md.-based Vision Data Center, said he sees major potential for the use of EcoStruxure IT Expert in the IoT realm. “There’s a need for predictive analytics for IoT devices out there,” Isch said. “That’s where this is going.”

Finalist: AWS Greengrass Updates 

Amazon Web Services bolstered its capabilities for IoT edge applications with the launch of Greengrass ML Inference, a feature of the AWS Greengrass edge service. Greengrass ML Inference enables devices to run machine-learning models to perform inference tasks locally, get results, and then make smart decisions quickly—even when they’re not connected.

Finalist: Cisco UCS C480ML 

A server capable of providing artificial intelligence and machine learning out to the edge, Cisco’s UCS C480ML comes loaded with eight Nvidia Tesla V100 data center GPUs, up to 24 drives able to support 182 TB, up to six NVMe drives and the ability to handle up to four 100-Gb network switches.

Finalist: HPE Edgeline EL4000 

With the Edgeline EL4000, a converged system for IoT, Hewlett Packard Enterprise integrates compute, storage, data capture and control along with management of systems and devices. The system is highly durable, able to handle challenging IoT environments with protection against shock, vibration and extreme temperatures.

Finalist: Intel OpenVINO Toolkit 

Intel’s OpenVINO toolkit helps accelerate development of highperformance video analysis in edge devices for IoT deployments. Geared toward developers that have been training neural networks in existing frameworks like TensorFlow and Caffe, the toolkit offers simplified ways to bring inference capabilities to the edge for vision computing applications.

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