The transition from running machine learning models in Colab notebooks to operational, high-traffic applications requires significant changes in infrastructure setup. The notebook environment maintains fixed dependencies that become inactive when the kernel stops. Fortunately, users can easily restart it. The production environment requires immediate response times due to financial implications, as GPU resources fluctuate and data patterns shift.
“The transition from running machine learning models in Colab notebooks to operational,…
