How does infrastructure management support the deployment of machine learning models?

Infrastructure management supports the deployment of machine learning models by providing the necessary resources and environment for the models to run efficiently. This includes setting up the appropriate hardware, software, networking, and storage systems needed to support the model’s execution, monitoring the performance of the deployed models, scaling resources as needed to handle increased demand, and ensuring security and compliance measures are in place to protect the models and the data they process. Effective infrastructure management maximizes the uptime and performance of machine learning models, enabling businesses to leverage their predictive capabilities effectively.