AI Runtime example notebooks

Preview

This feature is in Public Preview.

AI Runtime provides serverless GPU compute for inference, training, and fine-tuning AI and deep learning models. The pages below group example notebooks by task: large language models, computer vision, recommender systems, classic ML, and multi-GPU distributed training.

• • Large language models (LLMs)
  • Examples for large language model batch inference and fine-tuning, 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 distributed training
  • Examples for scaling training across multiple GPUs and nodes using the Serverless GPU API.