It is almost a foregone conclusion that when it comes to infrastructure, the industry will follow the lead of the big hyperscalers and cloud builders, building a foundation of standardized hardware for serving, storing, and switching and implementing as much functionality and intelligence as possible in the software on top of that to allow it to scale up and have costs come down as it does.
The reason this works is that these companies have complete control of their environments, from the processors and memory in the supply chain to the Linux kernel and software stack maintained by hundreds to …
Weaving Together Flash For Nearly Unlimited Scale was written by Timothy Prickett Morgan at The Next Platform.
There are many broadband services Service Providers offer to their customers today. As a network engineer you need to know the most common services and their advantages, disadvantages, design characteristics and so on. In this post, I will introduce these services and if I can see interest from the readers, I will explain the […]
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It is difficult to shed a tear for Moore’s Law when there are so many interesting architectural distractions on the systems horizon.
While the steady tick-tock of the tried and true is still audible, the last two years have ushered a fresh wave of new architectures targeting deep learning and other specialized workloads, as well as a bevy of forthcoming hybrids with FPGAs, zippier GPUs, and swiftly emerging open architectures. None of this has been lost on system architects at the bleeding edge, where the rush is on to build systems that can efficiently chew through ever-growing datasets with …
Neuromorphic, Quantum, Supercomputing Mesh for Deep Learning was written by Nicole Hemsoth at The Next Platform.
Taiwanese switch ODMs grab data center market share.
SD-WAN, security, and monitoring are components of SDx+M.