You're viewing version 2.13 of the OpenSearch documentation. This version is no longer maintained. For the latest version, see the current documentation. For information about OpenSearch version maintenance, see Release Schedule and Maintenance Policy.
Using ML models within OpenSearch
Introduced 2.9
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. For a list of supported models, see Supported pretrained models.
-
Custom models such as PyTorch deep learning models: To learn more, see Custom models.
Running local models on the CentOS 7 operating system is not supported. Moreover, not all local models can run on all hardware and operating systems.
GPU acceleration
For better performance, you can take advantage of GPU acceleration on your ML node. For more information, see GPU acceleration.