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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #349
You built a custom Vertex AI pipeline job that preprocesses images and trains an object detection model. The pipeline currently uses 1 n1-standard-8 machine with 1 NVIDIA Tesla V100 GPU. You want to r
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Submitted by diego_uy· Apr 18, 2026ML model development
Question
You built a custom Vertex AI pipeline job that preprocesses images and trains an object detection model. The pipeline currently uses 1 n1-standard-8 machine with 1 NVIDIA Tesla V100 GPU. You want to reduce the model training time without compromising model accuracy. What should you do?
Options
- AReduce the number of layers in your object detection model.
- BTrain the same model on a stratified subset of your dataset.
- CUpdate the WorkerPoolSpec to use a machine with 24 vCPUs and 1 NVIDIA Tesla V100 GPU.
- DUpdate the to use a machine with 24 vCPUs and 3 NVIDIA Tesla V100 GPUs.
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Topics
#GPU training#Resource allocation#Vertex AI#Model training optimization