Turn-Key Deep Learning Workspace Cluster for Training and Deployment

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"Discover a comprehensive Deep Learning Workspace Cluster tailored for training, exploration, and inferencing. Private cluster deployment, configuration, PXE Ubuntu setup, GlusterFS implementation, and more covered. Ideal for efficient DL operations."

  • Deep Learning
  • Cluster
  • Training
  • Deployment
  • Workspace

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  1. DL (Deep Learning) Workspace Turn-Key Cluster for DL Training, Exploration, Inferencing, etc.. Hongzhi Li, Jin Li, Sanjeev Mehrotra

  2. Private Cluster Deployment

  3. Configuraton

  4. Build PXE Ubuntu Server .\deploy.py y build .\deploy.py build pxe-ubuntu

  5. PXE Ubuntu

  6. Partition Drive and Assign Drive to File system Python regex description of data drive, glusterfs, hdfs drive

  7. GlusterFS General purpose scale-out distributed file system Scalable absence of a metadata server provides a faster file system Affortable/Flexible/Open source: Commodity hardware solution

  8. GlusterFS Deployment on DLWorkspace The procedure applies to deployment of any file system Minimal additional code per file system deployment (about hundreds of lines of scripts) 1. Build GlusterFS docker (mostly reuse official gluster/gluster-centos docker) + configuration for the local machine 2. Partition drive (optional) 3. Create volume used by glusterfs 4. Start Glusterfs docker 5. Mount Glusterfs file system

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