rdware. 
This section will cover tips and tricks - like half-precision weights and sliced attention - for optimizing inference speed and reducing memory-consumption. You can also learn how to speed up your PyTorch code with torch.compile or ONNX Runtime, and enable memory-efficient attention with xFormers. There are also guides for running inference on specific hardware like Apple Silicon, and Intel or Habana processors.
