Can I run Keras model on GPU?

Yes, you can run a Keras model on a GPU. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. These frameworks are capable of running on both CPUs and GPUs. In fact, training a deep learning model on a GPU can significantly speed up the process compared to using a CPU.

In order to run a Keras model on a GPU, you need to have a GPU-enabled machine and install the appropriate GPU drivers and libraries. You also need to have a version of Keras that supports running on a GPU.

When setting up your Keras environment to run on a GPU, you will need to specify the backend to be used (Tensorflow or Theano) and configure it to run on the GPU. This can typically be done through the Keras configuration file or by setting environment variables.

Once your machine is properly set up to run Keras on a GPU, you can train and run your deep learning models with the added performance benefits of GPU acceleration.

Overall, running a Keras model on a GPU can greatly improve the training and inference speed, making it a valuable option for deep learning practitioners.