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You are developing an image recognition model for a specialized product. Your team’s TensorFlow model relies heavily on custom C++ operations that perform intensive matrix multiplications. These custom ops are deeply integrated into your main training loop. Currently, training the model takes several days. To reduce training time and control costs, you want to leverage an accelerator on Google Cloud. What is the most appropriate solution to accelerate training in this scenario?