H13-311_V3.5 · Question #178
From the perspective of technical architecture AI The classification of chips includes?
The correct answer is A. FPGA B. CPU C. GPU D. ASIC. All four options are correct because AI hardware architecture recognizes four distinct chip categories, each serving different computational needs. CPUs (Central Processing Units) are general-purpose processors suitable for sequential logic and orchestration tasks. GPUs…
Question
From the perspective of technical architecture AI The classification of chips includes?
Options
- AFPGA
- BCPU
- CGPU
- DASIC
How the community answered
(31 responses)- A100% (31)
Explanation
All four options are correct because AI hardware architecture recognizes four distinct chip categories, each serving different computational needs. CPUs (Central Processing Units) are general-purpose processors suitable for sequential logic and orchestration tasks. GPUs (Graphics Processing Units) excel at parallel matrix operations that dominate deep learning training and inference. FPGAs (Field-Programmable Gate Arrays) are reconfigurable chips that offer hardware-level customization for specific AI workloads with lower latency than CPUs. ASICs (Application-Specific Integrated Circuits) are purpose-built chips - like Google's TPU - designed from the ground up for maximum AI inference efficiency.
There are no wrong distractors here; the question tests whether you recognize the full taxonomy rather than assuming AI uses only one chip type.
Memory tip: Use the acronym "CAFE" - rearranged as CPU, ASIC, FPGA, GPU - and remember they sit on a spectrum from most flexible (CPU) to most specialized (ASIC), with FPGA and GPU in between.
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