
The AI Lakehouse for Real-Time ML
Hopsworks provides a unified AI Lakehouse platform designed for organizations building production machine learning systems that require real-time feature serving and open data format compatibility. The platform combines a high-performance feature store, MLOps tooling, and GPU management in a single infrastructure that supports both cloud and on-premises deployments.

Hopsworks is a Swedish-European technology company that provides unified infrastructure for feature engineering, real-time machine learning, and production AI systems. Their platform centers around an AI Lakehouse architecture that enables organizations to work directly with open data formats including Iceberg, Delta, and Hudi tables, while delivering sub-millisecond latency for feature retrieval powered by RonDB, which they describe as the fastest open-source key-value store. The company offers a comprehensive MLOps infrastructure that covers the complete machine learning lifecycle from experimentation to production deployment. Their feature store serves as a central repository for feature data, enabling teams to reuse features across multiple models and reduce development costs. Hopsworks supports various deployment models including SaaS, air-gapped, on-premises, and hybrid configurations, making it suitable for organizations with strict data sovereignty requirements. Hopsworks serves notable enterprise customers including Zalando, Europe's largest online fashion platform, and provides educational resources including a free digital book on building machine learning systems. The platform supports integration with popular frameworks like Spark, Flink, Pandas, and DuckDB, and offers GPU management capabilities for training and serving large language models.