Inefficient Batching Reducing GPU Throughput

Low ratio of inferences to executions indicates poor batching efficiency. Each model execution handles few inferences, leaving GPU underutilized and increasing per-request overhead. Dynamic batching is critical for amortizing model execution costs across multiple requests, especially for GPU-accelerated models with high fixed overhead.

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