We are on a journey here to operationalise machine learning using Kubernetes. Call it MLOps, AIOPs, DataOps, DevOps, as you will. Next stop is to lay the foundation for implementing CI/CD pipelines to move our assets safely through development, canary testing and production environments. Let’s show that here by laying out a build/tag/promote cycle with […]
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 […]
Kubernetes scheduling a pod to a node with GPU resources to run a Jupyter notebook container demonstrating a python/tensorflow-gpu based application. All from a local Intel NUC machine using an eGPU. Yeah, we can do that. In this blog we take the NUC with eGPU – a Big Little ML Rig which we built earlier to the […]
eGPU obsessives might like this. We are going to set up an Intel® NUC Kit NUC6i7KYK (Skull Canyon) connected via Thunderbolt 3 (USB Type-C) cable to an eGPU as the AORUS GTX 1080 Gaming Box running Linux (Ubuntu 17.04). But wait there’s more. Then we are going to install the CUDA and cuDNN libraries to […]