OVHcloud can be used to deploy Hopsworks AI Lakehouse and feature store. You can run feature engineering pipelines, training pipelines, and batch inference pipelines using Spark, Flink, or Python on OVHcloud.
Hopsworks seamlessly integrates and can be deployed on OVHcloud using Kubernetes, allowing users to manage features and models. Data scientists can use Hopsworks to create and manage features, generate training datasets, and register models in the Hopsworks Model Registry. Additionally, Hopsworks provides model serving capabilities with its KServe model serving infrastructure, allowing you to serve models directly from Hopsworks while leveraging the scalability and performance of OVHcloud's infrastructure.