Seldon-Server
Visit ToolSeldon-server is an open-source machine learning platform and recommendation engine built on Kubernetes. It helps data science teams deploy ML models into production environments.
At a glance
Trending
Seldon-server is an open-source machine learning platform and recommendation engine built on Kubernetes. It helps data science teams deploy ML models into production environments.
Trending
About
Seldon-server is an open-source machine learning platform designed to help data science teams deploy models into production within a Kubernetes cluster. While this specific project is archived and superseded by Seldon Core, it laid the groundwork for serving a wide range of ML models, including those built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, and Gensim. It features an API with Predict and Recommend endpoints for supervised machine learning models and high-performance recommendation engines, respectively. Other capabilities include dynamic algorithm configuration for A/B and Multivariate tests, a Command Line Interface (CLI), secure OAuth 2.0 REST and gRPC APIs, and a Grafana dashboard for real-time analytics. Seldon-server supports deployment on-premise or in the cloud (e.g., GCP, AWS, Azure).
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending