You need to resolve the local machine learning pipeline performance issue. What should you do?
Correct Answer: A
Explanation:
If the local machine learning pipeline is experiencing performance issues, increasing the number of GPUs is the most effective solution. GPUs are specifically designed to perform the large-scale parallel computations required for machine learning and deep learning workloads. They can process thousands of operations simultaneously, significantly reducing model training and inference times. In contrast, increasing the learning rate or training iterations affects the model's learning process rather than performance, and adding CPUs generally provides less improvement for machine learning workloads than GPUs. Therefore, increasing GPUs is the best way to resolve the pipeline performance issue.
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