Seldon

Seldon is a comprehensive MLOps platform that enables organizations to deploy, manage, and monitor machine learning models at scale with enterprise-grade reliability and security. The platform offers multiple deployment solutions including Seldon Core for standardized model deployment, an LLM Module for large language model optimization, and Core+ for enhanced support and accelerator services. With flexible infrastructure options supporting cloud, on-premises, and hybrid deployments, Seldon serves innovative ML teams at companies like Capital One, IKEA, and Volkswagen by simplifying the complexity of production ML systems while maintaining observability and control.

• Seldon Core for standardized model deployment
• LLM Module for language model optimization
• Enhanced observability and monitoring
• Flexible deployment options (cloud, on-prem, hybrid)
• Cost optimization and resource management
• Data-centric approach to ML operations
• Modular architecture for complex systems
• Enterprise support and accelerator programs

• Enterprise ML deployment at scale
• Model monitoring and drift detection
• LLM deployment and optimization
• Multi-cloud ML infrastructure
• AI system observability
• Production ML lifecycle management

• ML engineers deploying models at scale
• Data science teams productionizing models
• DevOps teams managing AI infrastructure
• Enterprise AI teams requiring governance
• Technology companies building AI products
• Financial services with compliance needs

• Kubeflow - ML workflows on Kubernetes
• MLflow - ML lifecycle management
• BentoML - Model serving platform