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Deeplite combines breakthrough AI technology with years of research at the world’s top universities to create Neutrino, an AI-driven optimizer that streamlines production deployment for sophisticated deep learning systems. Neutrino uses AI and a novel DNN design space exploration to rapidly make production-ready deep learning for real-time, large-scale and resource-limited environments. The result is cost-effective AI on commodity hardware that scales with our customer’s growth in consumer, automotive and IoT devices. For more information, visit


Explaining Edge Computing


What is data mesh? How data mesh could be used in edge computing

Enterprises are increasingly looking to deploy applications and services at the network’s edge to improve performance and user experience. As…


Tinkerbell gets pixie dust for managing K8s on bare metal as Equinix looks to grow governance roles

By Jason DeTiberus, senior staff software engineer at Equinix Metal The open source Tinkerbell project originally focused solely on provisioning…


UP9 announces Mizu, the 0pen-source API traffic viewer for Kubernetes

Image Credit: UP9 For debugging and protocol testing, Wireshark has long been one of the favorite open-source traffic monitoring tools…


What is edge computing? The why (and where) of edge computing

Innovations in autonomous vehicular systems, Smart Cities and intelligent IoT devices — all are examples of edge computing, to different…


Data Fabric: What is it and when should enterprises use it?

What is a data fabric? This is a question that is being asked more frequently as enterprises seek to do…


Defining the edge layers for next-gen applications

The old paradigm for digital products could be characterized thusly: build IT infrastructure to support a service and “bring” your…

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