Google Professional Machine Learning Engineer
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You are working on a machine learning project that involves training an object detection model on a large dataset comprising three million X-ray images, each approximately 2 GB in size. To train the model, you are utilizing Google Cloud's Vertex AI Training service with a custom training application running on a Compute Engine instance. The instance is equipped with 32 CPU cores, 128 GB of RAM, and a single NVIDIA P100 GPU. Despite this setup, the model training process is taking an excessively long time. Your goal is to reduce the training duration without compromising the model's performance. What action should you take?
You are working on a machine learning project that involves training an object detection model on a large dataset comprising three million X-ray images, each approximately 2 GB in size. To train the model, you are utilizing Google Cloud's Vertex AI Training service with a custom training application running on a Compute Engine instance. The instance is equipped with 32 CPU cores, 128 GB of RAM, and a single NVIDIA P100 GPU. Despite this setup, the model training process is taking an excessively long time. Your goal is to reduce the training duration without compromising the model's performance. What action should you take?
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