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Gcore Cloud: Getting Started with IPUs
Version: latest
  • 1. Quick start
  • 2. Support
  • 3. About the system
    • 3.1. vPods
    • 3.2. Access
    • 3.3. Installed software
    • 3.4. Using your own data
    • 3.5. Using synthetic data
  • 4. Prerequisites
    • 4.1. Linux and Python commands
  • 5. Access
    • 5.1. Create a project
    • 5.2. vIPU quota request
    • 5.3. Create an AI cluster
    • 5.4. Select region
    • 5.5. Select image
    • 5.6. Select flavor
    • 5.7. Network settings
    • 5.8. Set up an SSH Key
    • 5.9. AI Cluster Name
    • 5.10. Connect to the cluster
    • 5.11. Create localdata RAID array (optional)
    • 5.12. Using console access
  • 6. Setup
    • 6.1. Working with a Python virtual environment
  • 7. Running an application in a Jupyter Notebook
  • 8. Running an application in PyTorch
  • 9. Running an application in TensorFlow 1
  • 10. Running an application in TensorFlow 2
  • 11. Running an application in the Poplar Graph Programming Framework
  • 12. Running an application in PopART
  • 13. Trademarks & copyright
Gcore Cloud: Getting Started with IPUs

Gcore Cloud: Getting Started with IPUs

Gcore Cloud now offers access to Graphcore IPUs. This guide describes the system and how you can get started using IPUs on Gcore Cloud.

  • 1. Quick start
  • 2. Support
  • 3. About the system
  • 4. Prerequisites
  • 5. Access
  • 6. Setup
  • 7. Running an application in a Jupyter Notebook
  • 8. Running an application in PyTorch
  • 9. Running an application in TensorFlow 1
  • 10. Running an application in TensorFlow 2
  • 11. Running an application in the Poplar Graph Programming Framework
  • 12. Running an application in PopART
  • 13. Trademarks & copyright
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