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welcome to the interval zero video on the rtx 64 m spaces tool available in rtx 64 4.0 and later in this video we review the local memory allocation spaces in rtx 64 and show how to use the rtx 64 m spaces tool and interpret its output first well review the local memory allocation architecture in rtx 64 you can choose to request memory from the local memory pool you can configure this and other memory allocation behaviors in the rtx 64 control panel on the manage memory page local memory includes multiple separate internal and external memory allocation spaces called m spaces when you request to use local memory the subsystem configures all rtss applications to request memory from their local memory m spaces local memory is deterministic with one exception when an m-space is configured to auto-expand and that m-space lacks sufficient available memory to satisfy an allocation request it will expand this expansion is non-deterministic the rtx 64 subsystem network abstraction layer and