The application relates to the technical field of
hybrid solid state disks, and discloses a
hybrid solid state disk dynamic optimization method and device based on a large
language model, which systematically classifies the parameter space of a
hybrid solid state disk, constructs a parameter sensitivity matrix based on the classified parameters, determines the influence difference parameters of the parameters on performance under different workloads, collects
system state information of the hybrid
solid state disk in real time, generates an optimized parameter configuration scheme based on a large
language model according to the
system state information, the influence difference parameters and historical configuration information. The application can realize real-
time perception of work load changes and dynamic focusing on the most sensitive parameter combination under the
current load, realize collaborative reasoning and adaptive adjustment among multiple parameters, significantly reduce the
write amplification rate and operation
delay, and solve the problem that the response efficiency,
system stability and
energy consumption performance of the hybrid SSD are poor under a dynamic work load in the prior art.