opensearch-docs-cn/_ml-commons-plugin/ml-framework.md

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title: Using ML models within OpenSearch
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   - /ml-commons-plugin/model-serving-framework/
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# Using ML models within OpenSearch
**Generally available 2.9**
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To integrate machine learning (ML) models into your OpenSearch cluster, you can upload and serve them locally. Choose one of the following options:

- **Pretrained models provided by OpenSearch**: To learn more, see [OpenSearch-provided pretrained models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/pretrained-models/). For a list of supported models, see [Supported pretrained models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/pretrained-models/#supported-pretrained-models). 

- **Custom models** such as PyTorch deep learning models: To learn more, see [Custom models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/custom-local-models/).

## GPU acceleration

For better performance, you can take advantage of GPU acceleration on your ML node. For more information, see [GPU acceleration]({{site.url}}{{site.baseurl}}/ml-commons-plugin/gpu-acceleration/).