Kubernetes Minikube #4 – R/RStudio Server with Tensorflow on (external) GPU
Data Science / DevOps / GPU / Kubernetes / Machine Learning / MLOps / R / tensorflow

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

Introduction 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 … Continue reading

Kubernetes Minikube #3 – Jupyter, Tensorflow with (external) GPU
Data Science / DevOps / GPU / Kubernetes / Machine Learning / tensorflow

Kubernetes Minikube #3 – Jupyter, Tensorflow with (external) GPU

Introduction 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 … Continue reading

NUC with (external) GPU – a Big Little ML Rig
Data Science / GPU / Machine Learning / Technology / tensorflow

NUC with (external) GPU – a Big Little ML Rig

Introduction 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 … Continue reading