capabilities.work

Get ML memory usage across all nodes

One step with Elastic Stack. We can help you get access.

Look something up

Get ML memory usage across all nodes

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elk Stack Ml API lets you get ML memory usage across all nodes in a single step (GET /_ml/memory/_stats). capabilities.work can help you get signed up and connected.

  • How much memory are my machine learning jobs and models using across the cluster?
  • Can I see ML memory use both inside and outside the JVM heap for every node?
Say it to your AI assistant
  • Show machine learning memory usage for all nodes.
  • Get cluster-wide ML memory stats with a timeout of {timeout}.
For your developer

GET /_ml/memory/_stats in Elk Stack Ml API. Full spec on APIs.io.

More you can do with Elastic Stack

Get 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 toClear a trained model deployment's inference cacheGet trained model configs by IDUpload a trained modelDelete an unreferenced trained modelCreate or reassign a trained model aliasDelete a trained model alias