# Performance testing for HTM anomaly detection

**URL:** <https://discourse.numenta.org/t/performance-testing-for-htm-anomaly-detection/8782>\
**Category:** NuPIC\
**Tags:** question\
**Created:** [July 21, 2021, 7:12am UTC](https://discourse.numenta.org/t/performance-testing-for-htm-anomaly-detection/8782 "2021-07-21T07:12:01Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![userProfessor](https://avatars.discourse-cdn.com/v4/letter/u/ba8739/32.png) [@userProfessor](https://discourse.numenta.org/u/userProfessor)\
**Post date:** [July 21, 2021, 7:12am UTC](https://discourse.numenta.org/t/performance-testing-for-htm-anomaly-detection/8782/1 "2021-07-21T07:12:01Z")

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I have been working with anomaly detection using HTM as part of a project. Since we need to keep a track of memory usage for the processes we are running, I was wondering if there is an estimate for the memory footprint for a piece of dataset being modelled? This can be in reference of the hotgym example (since, it has anomaly detection implemented) or any other datasets as part of the nupic.core/htm.core examples?