H2O AI and Google Cloud
H2O and Google Cloud have worked together since 2018. H2O Driverless AI and open-source H2O-3 have been available on Google Cloud Marketplace, Driverless AI ingests data directly from BigQuery without copying it elsewhere, and H2O Sparkling Water runs machine learning on Apache Spark in Dataproc. The H2O Sovereign AI Platform also installs on Google Kubernetes Engine, so organizations can run it in their own Google Cloud environment.
Partnership overview
What Google Cloud customers get
Use AI on the full range of your Google Cloud data to make mission-critical business decisions.
Integrations
H2O Driverless AI and H2O-3 on Google Cloud Marketplace
H2O Driverless AI, our AutoML, and open-source H2O-3 are both available on Google Cloud Marketplace. Any organization using Google Cloud can start an H2O cluster, or use Driverless AI to start or build on its machine learning workflows.
Driverless AI and H2O-3 with Kubeflow
Driverless AI and H2O-3 integrate with Kubeflow, the open-source machine learning toolkit for Kubernetes. Organizations deploying machine learning workflows on Kubernetes can run them across open hybrid infrastructure, with automatic, elastic scaling.
H2O Sparkling Water with Google Cloud Dataproc
The integration between H2O Sparkling Water and Google Cloud lets data science teams move their big data machine learning workloads to Google Cloud with Apache Spark and H2O.
Driverless AI on Google BigQuery
Driverless AI ingests data directly from Google BigQuery. Organizations that have moved their data off their own servers can bring it to Driverless AI without copying or transferring it to another repository.