G-Core Labs Cloud: Getting Started with IPUs
Version: latest
1. Overview
2. Quick start
3. Support
4. About the system
4.1. vPods
4.2. Access
4.3. Installed software
4.4. Using your own data
4.5. Using synthetic data
5. Prerequisites
5.1. Linux and Python commands
6. Access
6.1. Create a project
6.2. vIPU quota request
6.3. Create an AI cluster
6.4. Select region
6.5. Select image
6.6. Select flavor
6.7. Network settings
6.8. Set up an SSH Key
6.9. AI Cluster Name
6.10. Connect to the cluster
6.11. Create localdata RAID array (optional)
6.12. Using console access
7. Setup
7.1. Working with a Python virtual environment
8. Running an application in a Jupyter Notebook
9. Running an application in PyTorch
10. Running an application in TensorFlow 1
11. Running an application in TensorFlow 2
12. Running an application in the Poplar Graph Programming Framework
13. Running an application in PopART
14. Trademarks & copyright
G-Core Labs Cloud: Getting Started with IPUs
10.
Running an application in TensorFlow 1
Refer to the
TensorFlow 1 Quick Start
for details of how to run a TensorFlow 1 application.
Read the Docs
v: latest