Seldon is a machine learning platform that streamlines the processes of deploying, monitoring, and scaling various ML models. By integrating machine learning capabilities with DevOps practices, it facilitates the building, training, and automation of models. The platform’s compatibility with Kubernetes allows seamless transitions from development to production environments, ensuring operational transparency and efficiency. Engineers and data scientists benefit from features such as pipelines, dashboards, and observability tools that enhance their model-building experiences.

The platform supports the concurrent operation of multiple models, offers real-time drift detection, and employs Alibi Detect for identifying bias, anomalies, and data drift in models that are already in use. Seldon can be deployed in hybrid, cloud, or on-premises setups and provides comprehensive metrics, logs, and visualization tools for effective monitoring and troubleshooting. Additionally, it includes support for generative AI, facilitating the use of large language models, along with memory and stage management functions to simplify machine learning model development. Pricing for Seldon begins at USD 18000 on techjockey.com, and various subscription plans are available to accommodate a wide range of users.