The Intel white paper details how its IT group productizes AI models at scale using Microraptor, an MLOps platform that automates deployment, monitoring, and maintenance. Traditional custom wrappers slowed adoption, with 87% of AI projects stuck in pilots, but Microraptor enables push-button deployments in under 30 minutes. It integrates CI/CD, model registries, automated retraining, and quality tracking to reduce maintenance costs and avoid model drift. Complemented by DSraptor, which accelerates new model development, Intel deployed 200+ models in 30 days. The system cut upkeep to 10% of resources, freeing teams to focus on innovation.

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