Data Science / GPU / Kubernetes / Machine Learning / MLOps / R / tensorflow

Kubernetes Minikube #4 – R/RStudio Server with Tensorflow on (external) GPU

As a Data Scientist, I want to work on an RStudio Server image managed by Kubernetes with GPU capability. The motivation for doing this is that I can then access a machine learning rig that is 1) scale invariant (same from desktop to Cloud), 2) leverages Kubernetes for scheduling and 3) taps me into the Container ecosystem for CI/CD. Let’s call this a start to the problem of operationalising machine learning –  MLOps. If that’s youR use case Read on. HeRe’s HobaRt.

This blog post has been moved to www.emergile.com

 

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