Users of relational database management systems are accustomed to sub-second response for relatively simple online transaction processing, and have been able to enjoy those zippy responses for decades. …
Open source hardware is something that is intellectually satisfying as well as economically rewarding, but it is clearly not something for everyone. …
The hyperscalers and cloud builders have been setting the pace for innovation in the server arena for the past decade or so, particularly and publicly since Facebook set up the Open Compute Project in April 2011 and ramping up as Microsoft joined up in early 2014 and basically created a whole new server innovation stream that was unique from – and largely incompatible with – the designs put out by Facebook. …
Public-private partnerships are common when responding to national or international crises and the current coronavirus pandemic that is expanding around the globe is no different. …
If you want to see what the future of the Kubernetes container management system will look like, then the closed source, homegrown Tupperware container control system that Facebook has been using and evolving since 2011 – before Docker containers and Kubernetes were around – might be a good place to find inspiration. …
There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …
In the modern distributed computing world, which is getting ever more disaggregated and some might say discombobulated, as every day passes, the architecture of the network in the datacenter is arguably the most important factor in determining if applications will perform well or not. …
The hyperscalers and cloud builders of the world build things that often look and feel like supercomputers if you squint your eyes a little, but if you look closely, you can often see some pretty big differences. …
If there is one rule of computing, is that it gets increasingly more expensive and more difficult to scale up performance within a single device or a single server node. …
Gentlemen (and women), start your inference engines.
One of the world’s largest buyers of systems is entering evaluation mode for deep learning accelerators to speed services based on trained models. …
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