Serverless GPU compute example notebooks
The pages below include various notebook examples that show how to use Serverless GPU compute for different tasks.
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- Large language models (LLMs)
- Examples for fine-tuning large language models including parameter-efficient methods.
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- Computer vision
- Examples for computer vision tasks including object detection and image classification.
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- Deep learning based recommender systems
- Examples for building recommendation systems using modern deep learning approaches like two-tower models.
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- Classic ML
- Examples for traditional machine learning tasks including XGBoost model training and time series forecasting.
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- Multi-GPU and multi-node distributed training
- Examples for scaling training across multiple GPUs and nodes using the Serverless GPU API.
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- Distributed LLM batch inference
- Examples for LLM batch inference using Ray Data.