Yes, Optuna is generally faster and more efficient than GridSearch for hyperparameter optimization. GridSearch is a traditional method that performs an exhaustive search over a specified parameter grid, which can be computationally expensive and time-consuming, especially for large datasets and complex models. In contrast, Optuna uses more advanced optimization algorithms like TPE, which intelligently explores the search space and converges to the optimal solution more quickly. This makes Optuna a better choice for large-scale machine learning projects where time and computational resources are crucial factors.