You are a Machine Learning Engineer at a real estate technology company. You've developed a Deep Neural Network (DNN) regressor using TensorFlow to predict housing prices based on various features. The model was trained with tf.float64 precision and performs satisfactorily in terms of accuracy. However, before deploying the model to production, your team has identified a critical requirement to reduce the model's serving latency from 10 ms at the 90th percentile to 8 ms at the 90th percentile, with minimal impact on the model's predictive performance. The solution must also consider cost constraints, as the company is operating on a tight budget. Given these constraints, what is the first step you should take to achieve the desired reduction in serving latency? Choose the best option.