# Acceleration on CPU
[Whisper optimization with PTQ and pre/post processing](https://github.com/microsoft/Olive/tree/main/examples/whisper)

[BERT optimization with Intel® Neural Compressor Post Training Quantization](https://github.com/microsoft/Olive/tree/main/examples/bert#bert-optimization-with-intel-neural-compressor-ptq-on-cpu)

[BERT optimization with QAT Customized Training Loop](https://github.com/microsoft/Olive/tree/main/examples/bert#bert-optimization-with-qat-customized-training-loop-on-cpu)

[ResNet optimization with QAT Default Training Loop](https://github.com/microsoft/Olive/tree/main/examples/resnet#resnet-optimization-with-qat-default-training-loop-on-cpu)

[ResNet optimization with QAT PyTorch Lightning Module](https://github.com/microsoft/Olive/tree/main/examples/resnet#resnet-optimization-with-qat-pytorch-lightning-module-on-cpu)

[Cifar10 optimization with OpenVINO for Intel HW](https://github.com/microsoft/Olive/tree/main/examples/cifar10_openvino_intel_hw)

# Acceleration on GPU
[Bert optimization with CUDA/TensorRT](https://github.com/microsoft/Olive/tree/main/examples/bert/#bert-optimization-with-cudatensorrt)

[SqueezeNet latency optimization with DirectML](https://github.com/microsoft/Olive/tree/main/examples/directml/squeezenet)

[Stable Diffusion optimization with DirectML](https://github.com/microsoft/Olive/tree/main/examples/directml/stable_diffusion)

[Dolly V2 optimization with DirectML](https://github.com/microsoft/Olive/tree/main/examples/directml/dolly_v2)

# Acceleration on NPU
[Inception model optimization on Qualcomm NPU](https://github.com/microsoft/Olive/tree/main/examples/snpe/inception_snpe_qualcomm_npu)

# Acceleration on DPU
[ResNet optimization with Vitis-AI Post Training Quantization for AMD DPU](https://github.com/microsoft/Olive/tree/main/examples/resnet#resnet-optimization-with-vitis-ai-ptq-on-amd-dpu)