AconcaguaSci

Preface Recently, I was trying to train model on Google Colaboratory with mxnet. However, I found the CUDA version pre-installed on the Colab. is 10.2. Till now, mxnet only support to CUDA 10.1 Therefore, I started to think about if it is possible to setup the environment that mxnet has support. Till now CUDA 10.1 doesn’t work for me. But I do successfully installed CUDA 10.0. Also tried to trained a LeNet on Colaboratory. Since I am a mac user, NVIDIA GPU is always what we are jealous and envy. Until I found Google Colaboratory…. I’d like to share my journey with you, if you also encounter some problem on setting up environment. Google Colaboratory provide free access to the NVIDIA Tesla K80 GPU (24GB RAM, 4992 CUDA core) . It is a great gift for most of people who is eager to learn deep learning but doesn’t have good hardware systems to train deeper models. NVIDIA Tesla K80 GPU I assume that you already have background knowledge of Python and familiar with tools like jup