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Platform For AI:Use cases

Last Updated:Mar 11, 2026

This topic lists use cases of AI acceleration.

Transformer training acceleration

Case

Description

Use case: Accelerate Transformer model training

This topic describes how to use PAI-Rapidformer to accelerate the training of PyTorch transformers.

Inference acceleration

Case

Description

Use PAI-Blade to optimize a RetinaNet model that is in the Detectron2 framework

This topic describes how to use PAI-Blade to optimize a RetinaNet model that is in the Detectron2 framework.

Optimize RetinaNet with Blade and custom C++ operators

This topic describes how to use TorchScript custom C++ operators to build the post-processing network of an object detection model and use PAI-Blade to optimize the model.

Optimize RetinaNet with Blade and TensorRT plugin

This topic describes how to use PAI-Blade to optimize a detection model whose post-processing network is built by using TensorRT plug-ins.

Optimize a TensorFlow BERT model with Blade

This topic describes how to use PAI-Blade to optimize a TensorFlow BERT model.

Optimize TensorFlow ResNet50 with Blade

This topic describes how to use PAI-Blade to optimize a TensorFlow ResNet50 model.

Optimize dynamic-shape ResNet50 with Blade

This topic describes how to use PAI-Blade to optimize a ResNet50 model with dynamic input shapes.