Develop and Deploy Predictive Models with Seldon Core

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Prompt Content

Develop two machine learning models: one for forecasting future demand for a key hardware component (e.g., GPUs) and another for predicting energy consumption of a data center rack based on workload. Train these models using your preprocessed data. Describe how you would containerize these models and deploy them as separate microservices using Seldon Core on a Kubernetes cluster. Provide the necessary SeldonDeployment YAML configurations.

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