Seldon - Machine Learning Platform

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An open source and platform-agnostic machine learning deployment platform that helps data scientists add intelligence to organisations.

INTRODUCING SELDON CORE Our new open-source framework for deploying machine learning models on Kubernetes. ARTIFICIAL INTELLIGENCE. REAL IMPACT. Accelerate data science Organisations replicate effort building and maintaining machine learning infrastructure. Seldon enables you to get started quicker and easier, with low capital overheads. Focus on improving business KPIs Data scientists are freed up to focus on the core model creation while devops teams are able to manage deployments effectively using tools they understand. Seldon is built on industry-standard open-source technologies that work seamlessly with the tools your team are already using. Reduce governance bottlenecks Enterprise machine learning deployment requires complex governance processes that increase risk. Seldon enables you to release models faster with bank-grade audit trails, approvals and model explanations. Framework agnostic Deploy models from any machine learning library or framework using microservices and containers Deploy anywhere Run Seldon on your favourite cloud provider, on-premise, or fully managed by us – it’s your choice. Scale fearlessly We built Seldon to scale with your organisation, and are comfortably serving billions of predictions each month. ROCK-SOLID ENTERPRISE MACHINE LEARNING STACK Seldon Core is a high-performance ML serving engine based on an advanced model graph engine for deploying experiments and ensembles. Seldon Deploy (coming 2018) integrates seamlessly with a game-changing UX for better, faster and more compliant production workflows between data scientists, data engineers and business managers.

Learn more at seldon.io


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