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April 4, 2025

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Capabilities of the Hopsworks AI Lakehouse

Simplify your MLOps journey with extended tool capabilities

Platform

AI Lakehouse

Future proof your data infrastructure for AI, and integrate with your existing data ecosystem with the Hopsworks AI Lakehouse.

End-to-end Lifecycle MLOps Management

Develop, deploy, monitor and version all your machine learning assets and data in a single unified environment

The Most Advanced Unified Feature Store

Effortlessly manage, store, and compute features from any data source, at any scale, for any ML use case.

Integrated GPU Workload Orchestration

Maximize your GPU utilization for LLMs and Deep Learning, on-premises or in the cloud with a scalable AI Platform for model training and inference.

Collaboration

The collaborative layer for ML, Hopsworks feature store and ML platform allows for team efficiency and accelerating value in any organization.

Serverless Feature Store

The only serverless feature store & ML platform available for free without any cloud requirements allowing everyone to create their own prediction services

Operational Performance and High Availability

Hopsworks is the feature store & ML platform for high performance requirements, leveraging decades of experience and knowledge in highly available systems.

Feature Store On-Premises

Hopsworks allows you to manage all your data for machine learning on a Feature Store that integrates with most major Data platforms.

Feature Store for GCP

Hopsworks allows you to manage all your data for machine learning on a Feature Store platform that integrates with GCP services.

Feature Store for Azure

Hopsworks allows you to manage all your data for machine learning on a Feature Store platform that integrates with Azure services.

Feature Store for AWS

Hopsworks allows you to manage all your data for machine learning on a Feature Store platform that integrates with AWS services.

Machine Learning Pipelines

Feature Engineering in Python

Hopsworks Feature Store and ML platform is a Python-first collaborative environment for ML Engineers, Data Engineers and Data Scientists.

Feature Engineering in Flink

Hopsworks supports the Apache Flink framework for building streaming feature pipelines that can be used for real-time feature engineering.

Technologies

HopsFS

An open-source, next-generation scale-out metadata file system designed for high availability and superior performance.

Hopsworks Query Service

Hopsworks Query Service (HQS) is a fast Python API for Lakehouse data.

RonDB

The fastest open-source key-value store, now optimized for the cloud, offering unmatched performance and scalability for large-scale distributed storage systems.

Feature Store

Model Registry

Streamline your model lifecycle from development to production with Hopsworks' Model Registry.