Description
Controls the number of threads used by native libraries that manage their own internal thread pools, such as math and machine-learning stacks. It helps Python applications avoid oversubscribing CPUs when several libraries run at once.
Developers and researchers use it as a performance helper. Thread limits affect speed and resource use, so benchmark target workloads before choosing fixed settings.