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26 lines
1.2 KiB
Markdown
26 lines
1.2 KiB
Markdown
---
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layout: default
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title: Using ML models within OpenSearch
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parent: Integrating ML models
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has_children: true
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nav_order: 50
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redirect_from:
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- /ml-commons-plugin/model-serving-framework/
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- /ml-commons-plugin/ml-framework/
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---
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# Using ML models within OpenSearch
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**Generally available 2.9**
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{: .label .label-purple }
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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:
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- **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).
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- **Custom models** such as PyTorch deep learning models: To learn more, see [Custom models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/custom-local-models/).
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## GPU acceleration
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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/).
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