Serverless GPU compute example notebooks

The pages below include various notebook examples that show how to use Serverless GPU compute for different tasks.

Task	Description
Large language models (LLMs)	Examples for fine-tuning large language models including parameter-efficient methods.
Computer vision	Examples for computer vision tasks including object detection and image classification.
Deep learning based recommender systems	Examples for building recommendation systems using modern deep learning approaches like two-tower models.
Classic ML	Examples for traditional machine learning tasks including XGBoost model training and time series forecasting.
Multi-GPU and multi-node distributed training	Examples for scaling training across multiple GPUs and nodes using the Serverless GPU API.
Distributed LLM batch inference	Examples for LLM batch inference using Ray Data.