DevOps Product Hub

Seldon is a popular open-source platform designed for deploying machine learning models at scale in a production environment. It provides tools for managing complex ML workflows, making it easier for organizations to bring their ML models into production while ensuring reliability, scalability, and performance. With Seldon, users can serve models from various frameworks like TensorFlow, PyTorch, and Scikit-learn, and can easily integrate with Kubernetes for orchestration, enabling robust CI/CD practices for ML deployments.

Key features of Seldon include support for A/B testing, canary deployments, monitoring, and analytics, allowing teams to gain insights into model performance and user interactions. It also offers features for model explainability and drift detection, which are critical for maintaining the health of production ML systems. Seldon’s focus on automation and efficiency makes it a preferred choice for organizations looking to implement DevOps practices in their machine learning processes, thereby fostering a responsive and agile development environment. Seldon is free to use under an open-source license, with enterprise-grade support options available for organizations needing additional assistance.