AI0-001 AI Infrastructure and Technologies Practice Question
A data scientist is choosing a hardware accelerator for training a large transformer model. Which of the following is specifically designed for deep learning workloads and offers the highest throughput for matrix multiplications?
⚠ Common exam trap
This question tests the distinction between hardware designed for training versus inference. The trap is that candidates may choose GPU because it is the most common deep learning accelerator, overlooking that TPU is purpose-built for the highest matrix multiplication throughput in training workloads.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
TPU
The TPU (Tensor Processing Unit) is an application-specific integrated circuit (ASIC) designed by Google specifically to accelerate deep learning workloads. Its systolic array architecture is optimized for the matrix multiplications and convolutions that dominate transformer model training, delivering the highest throughput among the listed options for these operations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
TPU
Why this is correct
TPUs are Google's custom ASICs built specifically for tensor computations, delivering the highest throughput for matrix multiplications in deep learning.
- ✗
GPU
Why it's wrong here
GPUs are widely used for deep learning, but TPUs are custom-designed for tensor operations and often provide higher throughput for large models.
- ✗
NPU
Why it's wrong here
NPUs are optimized for inference on edge devices, not typically used for training large models.
- ✗
CPU
Why it's wrong here
CPUs are general-purpose processors not optimized for the parallel matrix operations required in deep learning training.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.