Open Source Toolkit for Turn-Key AI Cluster (Introduction)

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Presentation transcript:

Open Source Toolkit for Turn-Key AI Cluster (Introduction) DL Workspace This video introduces DL Workspace, an open source toolkit for turn-key AI Cluster setup and operation. Open Source Toolkit for Turn-Key AI Cluster (Introduction)

DL Workspace is … Open source toolkit for turn-key AI cluster setup Used for daily development/production in Microsoft internal groups (e.g., Microsoft Cognitive Services, SwiftKey, Bing Relevance) Allow AI scientist to run jobs (interactive exploration, training, inferencing, data analytics) Resource managed by cluster Turn-key operation (automatic software setup & cluster configuration) Out-of-box support All major DL toolkits (TensorFlow, CNTK, Caffe, MxNet, etc..) Big data analytics (Hadoop/Spark) DL Workspace provides out-of-box support for multiple Deep Learning toolkits, and big data analytical kits. It is used daily by Microsoft employees, and allows AI scientists to run both interactive and batch jobs on cluster.

Installation on-prem The rest of the video explains the process to install DL Workspace in a stand alone, on-prem cluster.

OR Prepare Dev Box Installation script for You need a development machine running Ubuntu OS. You may then either install docker, and build DL workspace dev docker, or run installation scripts that will install docker, python and Azure CLI on your machine. Installation script for

prepare configuration file src/ClusterBootstrap/config.yaml

Depending on your Open ID provider, configurethe Open ID endpoint, and insert the information into configuration file. Authentication for Microsoft corp users have been pre-configured, please contact authors for information.

Build Ubuntu PXE docker image Deploy Ubuntu Cluster Build Ubuntu PXE docker image Put machines in a VLAN, run PXE docker, update DHCP server to point to the PXE docker Use iLO, choose option to fully automatic install Ubuntu 16.04 Use the enclosed script to configure and build a Ubuntu PXE docker image. Put machines to be deployed in a VLAN, run PXE docker image, and update DHCP server to point to the PXE docker. Use iLO, choose the option to install Ubuntu 16.04 in full automation.

Run rest of the scripts to setup DL Workspace Installing required software package & GPU driver Configure shared file system (NFS, glusterfs, HDFS) Configure HDFS/Yarn Build and launch DL Workspace runtime [Note] Installation of on-perm cluster depends on the configuration of the cluster. If you run into issues, please contact the authors. Run the rest of the scripts to setup DL Workspace. This include the installation of required software package and GPU driver, configure shared file system (NFS, glusterfs, HDFS), configure HDFS/Yarn, and build and launch DL workspace runtime.

You should have a fully functional cluster then. Once all scripts run through, please wait a few minutes for the container to start. You should have a fully functional cluster then.