Moving data from memory to GPU compared to how we do in processor

 The Comparison: Microcontroller vs. GPU

To make this crystal clear, let's look at how a standard CPU/Microcontroller compiler thinks, versus how an AI GPU compiler thinks when performing the exact same task: Adding two giant arrays of numbers.

Concept	Microcontroller / CPU Compiler View	AI GPU Compiler View
Where is the Program Stored?	In flash memory / EEPROM / System RAM.	In VRAM (loaded into a specific segment of the GPU's memory).
How Instructions are Fetched	One by one via the Program Counter (PC) into the instruction register.	One instruction is fetched by a control unit, but it is broadcasted to thousands of cores at once.
How Registers are Loaded	MVI A, 09 MOV B, M (Loading one tiny register at a time).	LOAD_MATRIX R0, [VRAM_ADDR_A] (Thousands of different data slots load into thousands of different core registers simultaneously).
The Math Execution	ADD A, B (Executed once for one pair of numbers).	MATRIX_MUL R2, R1, R0 (Executed once, but thousands of internal ALUs fire at the exact same millisecond).