Run:ai Quickstart Guides

Below are a set of Quickstart documents. The purpose of these documents is to get you acquainted with an aspect of Run:ai in the simplest possible form. Follow the Quickstart documents below to learn more:

• Unattended training sessions
• Interactive build sessions
• Interactive build sessions with externalized services
• Using GPU Fractions
• Distributed Training
• Hyperparameter Optimization
• Over-Quota, Basic Fairness & Bin Packing
• Fairness
• Inference
• Dynamic MIG

Most quickstarts rely on an image called gcr.io/run-ai-demo/quickstart. The image is based on TensorFlow Release 20-08. This TensorFlow image has minimal requirements for CUDA and NVIDIA Compute Capability.

If your GPUs do not meet these requirements, use gcr.io/run-ai-demo/quickstart:legacy instead.