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Using ML models within SmartObserve

Introduced 2.9

To integrate machine learning (ML) models into your SmartObserve cluster, you can upload and serve them locally. Choose one of the following options.

Pretrained models provided by SmartObserve

Explore SmartObserve's collection of optimized ML models for immediate use in AI applications

Custom models

Learn how to upload and serve your own ML models in SmartObserve for specialized use cases

For production environments, run local models on dedicated ML nodes rather than data nodes. For more information, see Run tasks and models on ML nodes only.

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

Take advantage of GPU acceleration on your ML node for better performance