DL Workspace - GitHub Pages

DL Workspace - GitHub Pages

DL Workspace 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)

WorkFlow authentication via open id

Select Submit New Job once log in Select a template,

make optional modification on job template submit a job

Select to view submitted jobs Select Job ID You may need to wait between a few seconds (execution of old job) to

several minutes (new job) for the job container to be scheduled, downloaded and launched Wait for Mapped Endpoints to appear.

Execute ssh command to connect to the container go to spark directory Execute spark command on cluster

Here is the log & output of the executed spark job. DL Workspace provides Turn-key setup for AI cluster (in public cloud or on-perm)

Allow AI scientist to run jobs (interactive exploration, training, inferencing, data analytics) with fully setup software/hardware environment Using DL Workspace, AI scientists can easily collaborate, and share job setup, and maximize job productivity

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