Storage device and operating method

A storage device comprising:

• a non-volatile memory including a first memory region including first memory cells having a first data storage capacity, a second memory region including second memory cells having a second data storage capacity greater than the first data storage capacity, and a third memory region including third memory cells having a third data storage capacity greater than the second data storage capacity;
• and
• a storage controller including a processor and a memory configured to store a machine learning model,
• wherein the storage controller is configured to program data in the non-volatile memory in response to a write request received from a host, extract storage time information for the data from characteristic information of the data through machine learning inference using the machine learning model, and program the data in a selected one of the first memory region, the second memory region, and the third memory region on the basis of the storage time information.

An operating method for a storage device, the operating method comprising:

• receiving a write request, data, and storage time information associated with the data;
• programming the data in an allocated memory region of a non-volatile memory included in the storage device on the basis of the storage time information, wherein the non-volatile memory includes a first memory region including first memory cells having a first data storage capacity, a second memory region including second memory cells having a second data storage capacity greater than the first data storage capacity, and a third memory region including third memory cells having a third data storage capacity greater than the second data storage capacity;
• and
• self-erasing the data when an erase expectation time elapses after the data is programmed, wherein the erase expectation time is determined on the basis of the storage time information.