Your team is working on a specialized image recognition product that relies on custom C++ TensorFlow operations for complex matrix multiplications during the training loop. Currently, training takes several days. You're looking to significantly reduce this time and maintain cost efficiency by using an accelerator on Google Cloud. What's the best approach to achieve this?