H13-311_V3.5 · Question #230
CPU Mainly through increasing instructions, increasing the number of cores, etc. to improve AI performance.
The correct answer is A. TRUE. Option A is correct because CPUs improve AI performance through two primary architectural mechanisms: expanding instruction sets (e.g., Intel's AVX-512 and AMX instructions that accelerate matrix operations common in neural networks) and increasing core counts to enable greater…
Question
CPU Mainly through increasing instructions, increasing the number of cores, etc. to improve AI performance.
Options
- ATRUE
- BFALSE
How the community answered
(61 responses)- A79% (48)
- B21% (13)
Explanation
Option A is correct because CPUs improve AI performance through two primary architectural mechanisms: expanding instruction sets (e.g., Intel's AVX-512 and AMX instructions that accelerate matrix operations common in neural networks) and increasing core counts to enable greater parallelism across AI workloads. These improvements allow CPUs to handle more simultaneous computations, which directly benefits AI inference and training tasks. Option B (FALSE) is incorrect because these are well-documented, real strategies that CPU manufacturers like Intel and AMD actively implement to compete with GPU-based AI acceleration.
Memory tip: Think of CPU AI improvements as "doing more at once" - more instructions means richer operations per cycle, more cores means more tasks running simultaneously. Both expand the CPU's ability to handle AI's heavy parallel math.
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