Editor’s Note: The following is an article written for and published in DZone’s 2024 Trend Report, Kubernetes in the Enterprise: Once Decade-Defining, Now Forging a Future in the SDLC.
Kubernetes has become a cornerstone in modern infrastructure, particularly for deploying, scaling, and managing artificial intelligence and machine learning (AI/ML) workloads. As organizations increasingly rely on machine learning models for critical tasks like data processing, model training, and inference, Kubernetes offers the flexibility and scalability needed to manage these complex workloads efficiently. By leveraging Kubernetes’ robust ecosystem, AI/ML workloads can be dynamically orchestrated, ensuring optimal resource utilization and high availability across cloud environments. This synergy between Kubernetes and AI/ML empowers organizations to deploy and scale their ML workloads with greater agility and reliability.