You are working on a specialized product within the image recognition domain and your team has developed a model heavily reliant on customized C++ TensorFlow operations. These operations are integral to your main training loop, primarily conducting extensive matrix multiplications. Presently, the model training process can extend over several days. Your objective is to considerably reduce this training time and maintain low costs through the use of a Google Cloud accelerator. What actions should you take?