Which hardware accelerators does the PaddlePaddle framework support?

The PaddlePaddle framework supports the following hardware accelerators:

1. PaddlePaddle supports acceleration using NVIDIA GPU, allowing for faster training and inference processes.
2. CPU: PaddlePaddle can also be run on a CPU, which is feasible for simple models and small datasets.
3. PaddlePaddle also supports the use of specialized ASIC (Application-Specific Integrated Circuit) accelerators, such as the Kunlun chip.

In general, the PaddlePaddle framework supports various hardware accelerators, allowing users to choose the appropriate one based on their needs and resources to enhance the efficiency of model training and inference.