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/usr/bin/anaconda/bin/pip install pandas --update
#!/bin/bash
newspark="spark-2.3.0"
SPARK_DIR="$(readlink -f "/usr/hdp/current/spark2-client")"
SPARK_CONF_DIR="$(readlink -f "/usr/hdp/current/spark2-client/conf")"
CURRENT_DIR=${SPARK_DIR%/spark2}
HADOOP_DIR="$CURRENT_DIR/hadoop"
HADOOP_YARN_DIR="$CURRENT_DIR/hadoop-yarn"
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mhamilton723 / Tensorflow Serving with a GPU Kubernetes cluster on Azure.md
Last active June 19, 2019 08:23
Quick tutorial on how to deploy a GPU enabled tensorflow model to Azure

Tensorflow Serving with a GPU Kubernetes cluster on Azure

Prerequisites

  • az command line version >= 2.0.23

Making the Kubernetes cluster

First make a resource group to house your deployment. Note that as of 12/22/2017 this will only work in westus2 and uksouth because of Nvidia driver deployment.