Optimize your inference jobs using dynamic batch inference with TorchServe on Amazon SageMaker
In deep learning, batch processing refers to feeding multiple inputs into a model. Although it’s essential during training, it can be very helpful to manage the cost and optimize throughput during inference time as well. Hardware …
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