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 […]
We are going to mess around with some of the R gpu packages using our eGPU Rig. Look here for how to set up RStudio and then use the gpuR, gputools and keras/tensorflow packages against an eGPU.
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 […]