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How does John Mosquera balance local and cloud resources in his AI and cloud projects?
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John Mosquera balances local and cloud resources in his AI and cloud projects by leveraging the strengths of each. For computationally intensive tasks like model training, he uses cloud platforms like Colab and Kaggle, which offer scalable GPU resources. For smaller tasks or experiments, he relies on his local NVIDIA GPU and Jupyter notebooks, ensuring cost efficiency. This hybrid approach allows him to optimize performance while keeping costs low, reflecting his focus on practical and efficient solutions. John Mosquera balances local and cloud resources by using cloud platforms for intensive tasks and local resources for smaller experiments, optimizing performance and cost efficiency.