H2O TensorFlow on AWS GPU – H2O blog

TensorFlow on AWS GPU instance In this tutorial, we show how to setup TensorFlow on AWS GPU instance and run H2O Tensorflow Deep learning demo. Pre-requisites: To get started, request an AWS EC2 instance with GPU support. We used a single g2.2xlarge instance running Ubuntu 14.04.To setup TensorFlow with GPU support, following softwares should be installed: Troubleshooting: 1) ERROR: Getting java.net.UnknownHostException while starting spark-shell Solution: Make sure /etc/hosts has entry for hostname. The minimum required Cuda capability is 3.5" Solution: Specify 3.0 while configuring TF at: Please note that each additional compute capability significantly increases your build time and binary size.