Hopsworks is a real-time AI lakehouse platform with a feature store, enabling data and AI teams to build, manage, and scale machine learning workflows.
Build and manage real-time AI workflows at scale
Hopsworks is a flexible AI lakehouse platform designed to help data and AI teams build, manage, and scale their machine learning projects. With its integrated feature store and real-time data capabilities, you can centralize, share, and reuse ML features efficiently, ensuring your AI models have the freshest data possible.
The platform also offers tools for orchestrating end-to-end ML workflows, monitoring performance, and maximizing GPU utilization, making it easy to handle everything from data integration to model deployment. Whether you’re working in the cloud or on-premises, Hopsworks provides the performance and modularity to fit your needs.
If you’re a machine learning engineer, data engineer, or technical stakeholder, you’ll find Hopsworks especially useful for streamlining your MLOps processes and meeting high performance requirements. With resources like documentation, examples, and a supportive community, getting started and scaling up your AI initiatives is straightforward.
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