System, method, and apparatus for providing an adaptive memory architecture for an artificial intelligence environment

A method for data storage in an artificial intelligence (AI) computing environment comprising:

• configuring a first memory component configured as a first-level (L1) memory cache equivalent to store first data that is transient;
• configuring a second memory component as a second-level (L2) memory cache equivalent to store second data that is not held within the in-memory data store and is accessed at greater than an L2 frequency threshold;
• configuring a third memory component as a third-level (L3) memory cache equivalent to store third data that is accessed at less than the L2 frequency threshold and at greater than an L3 frequency threshold;
• and
• configuring a fourth memory component as a fourth-level (L4) memory cache equivalent to store fourth data that is accessed at less than the L3 frequency threshold.

An apparatus for data storage in an artificial intelligence (AI) computing environment comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform:
• configure a first memory component configured as a first-level (L1) memory cache equivalent to store first data that is transient;
• configure a second memory component as a second-level (L2) memory cache equivalent to store second data that is not held within the in-memory data store and is accessed at greater than an L2 frequency threshold;
• configure a third memory component as a third-level (L3) memory cache equivalent to store third data that is accessed at less than the L2 frequency threshold and at greater than an L3 frequency threshold;
• and
• configure a fourth memory component as a fourth-level (L4) memory cache equivalent to store fourth data that is accessed at less than the L3 frequency threshold.