NCA-AIIO Question 28
Select 4Which factors have contributed to the recent rapid improvements and adoption of AI technologies in modern infrastructure?
- A
Advancements in GPU technology enabling accelerated computation for AI workloads
- B
The development of high-performance storage solutions optimized for AI
- C
A decline in the availability of large-scale datasets for training AI models
- D
The growth of open-source AI frameworks and tools simplifying AI development
- E
The emergence of dedicated AI hardware accelerators like NVIDIA Tensor Cores
Show answer and explanation
Correct answers: A, B, D, E
Explanation
The rapid improvements in AI have been driven by advancements in computational power through GPUs and AI-specific hardware, optimized storage solutions to handle massive datasets, and the growth of open-source frameworks enabling easier adoption. These factors, combined, have significantly accelerated AI development and deployment in modern infrastructures.
- A. Correct.
Correct: GPUs, such as those developed by NVIDIA, have greatly accelerated the training and inference of AI models, enabling faster experimentation and deployment.
- B. Correct.
Correct: High-performance storage solutions ensure that the vast amounts of data needed for AI workloads can be accessed and processed efficiently.
- C. Incorrect.
Incorrect: The availability of large-scale datasets has increased significantly, not declined. This has been a key enabler for training complex AI models.
- D. Correct.
Correct: Open-source frameworks like TensorFlow, PyTorch, and NVIDIA RAPIDS have made AI development more accessible and efficient, driving adoption.
- E. Correct.
Correct: Dedicated AI hardware accelerators, such as NVIDIA Tensor Cores, are specifically designed to optimize AI computations, further improving performance.