You have created an extensive neural network using TensorFlow Keras, and it's anticipated to require several days for training. The model exclusively relies on TensorFlow's native operations and conducts training with high-precision arithmetic. Your objective is to enhance the code to enable distributed training through tf.distribute.Strategy. Additionally, you aim to configure an appropriate virtual machine instance within Compute Engine to reduce the overall training duration. What steps should you take to achieve this?