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Blog posts tagged
"machine learning"

Samuel Cozannet
27 March 2017

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

Ubuntu Article

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 ...

Samuel Cozannet
7 March 2017

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

Cloud and server Article

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 ...

Guest
31 May 2016

Building a nervous system for OpenStack

Cloud and server Article

Big Software is a new class of software composed of so many moving pieces that humans, by themselves, cannot design, deploy or operate them. OpenStack, Hadoop and container-based architectures are all byproducts of Big Software. The only way to address the complexity is with automatic, AI-powered analytics. Summary Canonical and Skymind a ...

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