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Clear a trained model deployment's inference cache

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Clear a trained model deployment's inference cache

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elasticsearch Request & Response Specification ml trained model API lets you clear a trained model deployment's inference cache in a single step (POST /_ml/trained_models/{model_id}/deployment/cache/_clear). capabilities.work can help you get signed up and connected.

  • Can I clear the inference cache of a deployed model without restarting the deployment?
  • How do I flush cached model responses on every node a model is assigned to?
Say it to your AI assistant
  • Clear the deployment inference cache for model {model_id}.
  • Flush cached responses for deployed model {model_id} on all nodes.
For your developer

POST /_ml/trained_models/{model_id}/deployment/cache/_clear in Elasticsearch Request & Response Specification ml trained model API. Full spec on APIs.io.

More you can do with Elastic Stack

Get ML memory usage across all nodesGet ML memory usage for one nodeGet machine learning defaults and limitsToggle ML upgrade modeSync ML saved objects in the default spaceChange which spaces ML jobs belong toChange which spaces trained models belong toGet trained model configs by IDUpload a trained modelDelete an unreferenced trained modelCreate or reassign a trained model aliasDelete a trained model alias