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Important
AI Runtime for single-node tasks is in Public Preview. The distributed training API for multi-GPU workloads remain in Beta.
The pages below include various notebook examples that show how to use AI Runtime 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 distributed training | Examples for scaling training across multiple GPUs and nodes using the Serverless GPU API. |