Speeding up TensorFlow, MXNet, and PyTorch inference with Amazon SageMaker Neo | Amazon Web Services

AWS Machine Learning Blog Speeding up TensorFlow, MXNet, and PyTorch inference with Amazon SageMaker Neo Various machine learning (ML) optimizations are possible at every stage of the flow during or after training. Model compiling is one optimization that creates a more efficient implementation of a trained model. In 2018, we launched Amazon SageMaker Neo to compile machine learning models for man

[misshiki]

“Amazon SageMaker Neoを使用してTensorFlow、MXNet、PyTorchの推論を高速化”