NCA-AIIO Question 52
Select 3Your team is tasked with running a large-scale AI training workload on a new infrastructure. The workload involves extensive matrix calculations and parallel computations. During a discussion, one of your colleagues suggests using CPUs instead of GPUs for the workload. Which of the following reasons justify using GPUs over CPUs in this scenario?
- A
GPUs have thousands of cores optimized for parallel processing, making them ideal for matrix-heavy computations.
- B
GPUs are generally more power-efficient for AI training workloads compared to CPUs.
- C
GPUs have higher clock speeds than CPUs, making them faster for all types of computations.
- D
GPUs are specifically designed to handle high-throughput tasks like deep learning training.
- E
GPUs have more advanced branch prediction capabilities compared to CPUs, which improves their performance.
Show answer and explanation
Correct answers: A, B, D
Explanation
GPUs are specifically designed for parallel processing, making them ideal for workloads that involve matrix-heavy and high-throughput computations, such as AI training. They are also more power-efficient for these tasks compared to CPUs. However, GPUs do not outperform CPUs in all areas, such as clock speed or branch prediction, which are more relevant to sequential, general-purpose tasks.
- A. Correct.
Correct: GPUs are designed with thousands of smaller, efficient cores that excel at handling parallel computations like matrix operations, which are common in AI and deep learning tasks.
- B. Correct.
Correct: GPUs are optimized for high-throughput workloads, making them more power-efficient for AI training tasks compared to general-purpose CPUs.
- C. Incorrect.
Incorrect: While GPUs can be faster for parallel workloads, CPUs often have higher clock speeds than GPUs. The performance benefit of GPUs comes from their parallel architecture, not clock speed.
- D. Correct.
Correct: GPUs are purpose-built for high-throughput tasks such as AI training and deep learning, making them a better choice for these types of workloads.
- E. Incorrect.
Incorrect: CPUs generally have more advanced branch prediction capabilities, which are critical for sequential tasks. This feature is not relevant to the parallel nature of GPU workloads.