Scaling Batch Inference with Ray Data

Template Specification	Description
Summary	This template walks through GPU batch inference on an image dataset.
Time to Run	Less than 5 minutes to compute predictions on the dataset.
Minimum Compute Requirements	No hard requirements. The default is 4 nodes, each with 1 NVIDIA T4 GPU.
Cluster Environment	This template uses the latest Anyscale-provided Ray ML image using Python 3.9: anyscale/ray-ml:latest-py39-gpu. If you want to change to a different cluster environment, make sure that it is based off of this image!

Getting Started

When the workspace is up and running, start coding by clicking on the Jupyter or VSCode icon above. Open the start.ipynb file and follow the instructions there.

By the end, we will have classified around 10k images with a PyTorch model.