Seldon Overview
Seldon, a leading provider of MLOps solutions, offers a robust and comprehensive platform designed to help enterprises deploy, manage, and optimize machine learning models at scale. Here is an overview of their key products and features:
Seldon Enterprise Platform
The Seldon Enterprise Platform is tailored for enterprises that need to operationalize machine learning models while ensuring seamless governance, risk, and compliance management. Here are its key features:
- Model Deployment and Management: The platform allows for swift deployment of ML models into production, enabling fast prediction insights. It includes deployment wizards, canary and A/B testing for continuous model optimization, and the ability to manage high volumes of models efficiently.
- Operational Performance and Risk Reduction: It features operational performance monitoring to proactively address issues, alerting systems for quick incident response, and alignment with the Open Inference Protocol to drive industry standardization.
- Governance and Compliance: The platform includes GitOps for version control, audit logs to track system changes, a model catalog for centralized metadata management, and granular user management with role-based access controls.
- Flexibility and Versatility: Seldon Enterprise Platform is cloud-agnostic, supporting deployment on Google Cloud, AWS, or custom VPCs. It offers access through UI, API, CLI, and SDK, ensuring flexibility and avoiding vendor lock-in.
- Cost Efficiency and Productivity: Users can achieve significant productivity gains (up to 85%) and cost savings (up to 60% on infrastructure costs) through intelligent resource optimization and easy-to-use dashboards.
Seldon Core and Core
Seldon Core
Seldon Core is a production-grade, source-available model serving platform that converts ML models into REST/GRPC microservices. Key features include:
- Model Serving and Monitoring: It supports deploying models to microservices with features like monitoring, logging, model explainers, outlier detectors, and continuous deployment strategies such as A/B testing and canary deployments.
- Scalability and Flexibility: Seldon Core is cloud-agnostic, tested on various Kubernetes environments (AWS EKS, Azure AKS, Google GKE, etc.), and supports multiple ML runtimes. It also offers pre-packaged inference servers and language wrappers for custom models.
- Advanced Metrics and Auditing: The platform integrates with Prometheus and Grafana for advanced metrics, Elasticsearch for request logging, and Jaeger for distributed tracing. It also provides metadata provenance and full auditability.
Seldon Core
Seldon Core is an enterprise-grade version of Seldon Core, offering additional support and reliability features:
- Enterprise Support and Warranty: Core includes a dedicated Customer Success Manager, exclusive support channels, and an enterprise-grade warranty to ensure minimal downtime and high reliability.
- Platform Agnosticism: It supports deployment on Kubernetes, Docker, or Docker Compose and allows the choice of service mesh. Core also leverages the Open Inference Protocol for interoperability.
- Enhanced Governance and Compliance: Designed for highly regulated industries, Core provides rigorous testing, system evaluations, and setup checklists to ensure compliance and governance requirements are met.
- Scalability and Efficiency: Core helps reduce deployment time, boost productivity, and ensure peak performance through advanced monitoring and explainability features.
Conclusion
In summary, Seldon’s products are designed to streamline the deployment, management, and optimization of machine learning models, offering a range of features that cater to the needs of enterprises requiring robust MLOps solutions.