seniorKeras
What is catastrophic GPU underutilization in Keras training pipelines?
Updated May 16, 2026
Short answer
It happens when GPU waits idle due to slow data loading or inefficient computation.
Deep explanation
Common causes include Python data generators, lack of prefetching, small batch sizes, or CPU-bound preprocessing. Fixing requires tf.data optimization and pipeline parallelism.
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