DataLoader

Developers frequently forget to batch queries in GraphQL, resulting in N+1 query problems that cause slow performance and unnecessary database strain. Solutions like DataLoader are required to optimize query execution.

When the data pipeline is slower than the model, the GPU sits idle waiting for the CPU to serve batches, wasting expensive compute cycles. This is a common but often overlooked performance killer in PyTorch training workflows.