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Blog posts tagged "GPU"

Job concurrency in Kubernetes: LXD and CPU pinning to the rescue

A few days ago, someone shared with me a project to run video transcoding jobs in Kubernetes. During her tests, made on a default Kubernetes installation on bare metal servers with 40 cores & 512GB RAM, she allocated 5 full CPU cores to each of the transcoding pods, then scaled up to 6 concurrent tasks

This elevator catches intruders, saves lives, generates money, …

The world is becoming software defined and most people don’t realise what this means until software apps and app stores invade their day to day objects like elevators. This blog post is about the smartest elevator demoed at MWC17 and the future of elevators with app stores. What happens if we add artificial intelligence to

GPUs and Kubernetes for deep learning — Part 2/3: Adding storage

Earlier this week we built a GPU cluster and installed Kubernetes so that we can do some advanced data processing. What is the thing you need next right after you have GPUs? Data. Data. and Data. And technically, if you looked at any of the tutorials for Tensorflow or the recent PaddlePaddle blog posts, you’ll

Installing a DIY bare metal GPU cluster for Kubernetes

I don’t know if you have ever seen one of the Orange Boxes from Canonical These are really sleek machines. They contain 10 Intel NUCs, plus an 11th one for the management. They are used as a demonstration tool for big software stacks such as OpenStack, Hadoop, and, of course, Kubernetes. They are freely available

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