How to Select a GPU Node Type

Choosing the right GPU is critical for optimizing workflows across model training, fine-tuning, and inference. Selecting the appropriate hardware upfront minimizes idle compute, speeds up processing, reduces latency, and ensures costs are incurred only for resources actively used. As GPU benchmark comparisons reveal, there is no universal solution when it comes to GPU types. Identifying the right GPU node type for your specific use case is key to achieving both cost and performance efficiency.

This guide provides a comprehensive overview of how Networke evaluates its range of NVIDIA GPUs for model serving and inference.