What is
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
- Contact for pricing
- Multiple tiers available (Core, Core+, LLM Module)
- Enterprise solutions with custom pricing
- Over a decade of ML deployment experience
- Trusted by major enterprises like Capital One and IKEA
- Standardized workflows reduce complexity
- Flexible infrastructure deployment options
- Enhanced observability for production systems
- Cost optimization capabilities
- Over a decade of ML deployment experience
- Trusted by major enterprises like Capital One and IKEA
- Standardized workflows reduce complexity
- Flexible infrastructure deployment options
- Enhanced observability for production systems
- Cost optimization capabilities
- 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
- 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
- Kubernetes and cloud platform integrations
- CI/CD pipeline connections
- Multiple framework support (TensorFlow, PyTorch, etc.)
- ISO/IEC 27001:2022 certified
- Enterprise-grade security protocols
- SOC compliance capabilities
- Data privacy and protection measures

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