CRN's 2019 Products Of The Year

IoT AND EDGE

HPE EDGELINE OT LINK

WINNER: OVERALL

Hewlett Packard Enterprise is pushing boldly into new Internet of Things and edge computing territory with the launch of HPE Edgeline OT Link, an open software platform designed to bridge the gap between operational technology (OT) and IT. HPE Edgeline OT Link provides an open workflow engine and application catalog designed to speed up application delivery with a drag-and-drop capability for OT and IT applications, components and data. The platform automates the interplay between IT and OT applications at the edge to propel a new wave of IoT applications that break ground in industries such as manufacturing, energy and telecommunications.

Subcategory Winner—Customer Demand: Cisco Catalyst IE3x00

With its Catalyst IE3x00 series of switches, Cisco is extending its intent-based networking architecture—which offers benefits including improved scalability and management—to the IoT edge. The switches run on Cisco’s IOS XE operating system, allowing them to be easily upgraded with new technologies, such as 5G.

Finalist: APC by Schneider Electric: HyperFlex for the Edge

Aimed at rapid deployment in edge environments, HyperFlex for the Edge pairs physical infrastructure from APC by Schneider Electric with Cisco’s HyperFlex hyper-converged infrastructure offering. Along with being preintegrated at the factory, key advantages include remote monitoring and management capabilities.

Finalist: Lenovo ThinkSystem SE350

Lenovo’s ThinkSystem SE350 is a compact-size server that’s designed to be used on the edge and features a range of connectivity and durability features. Those include handling temperatures from 32 degrees to 131 degrees Fahrenheit, and tolerating locations with high dust and vibration.

Finalist: Nvidia EGX Platform

Nvidia’s EGX Platform enables powerful artificial intelligence capabilities at the edge with minimal latency. The platform leverages Nvidia technologies including the Jetson Nano module (for performing image recognition and other tasks) and T4 servers (for AI tasks such as speech recognition).