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H2O.ai in Any Cloud

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Overview

Your Cloud, Our AI

Democratize your data science capabilities at scale. Use your preferred cloud – public or private. Use H2O and Driverless AI to supercharge your AI applications.

Watch the Webinar to learn how to optimize cloud investments and implement enterprise-ready AI.

Benefits of H2O.ai in the Cloud

  • Native In-Cloud Model Deployment
  • Flexible and Portable Models
  • Seamless Model Monitoring, Management...
  • Highly Available, Performant, Scalable..

The H2O.ai open source and the Driverless AI platforms allow data scientists to deploy models in any cloud. Deploy the machine learning model as a RESTful or serverless endpoint for real-time scoring directly in the cloud.

Model building on H2O comes with limitless flexibility for the data teams. Drag-and-drop data directly from Amazon S3, Google BigQuery or Azure Blob Storage, Snowflake or any Hadoop distribution. Train with data from on-premises and deploy on any cloud.

With H2O, data scientists have a fully automatic platform at their disposal. It is capable of end-to-end data science in your cloud - everything from feature engineering, machine learning, interpretability to deployment.

Leverage the high availability, scalable storage, compute and memory of public clouds to support your production workloads. Use H2O with GPUs and CPUs to train and score models in your cloud. Inherit the information security, data protection, regulatory compliance and data governance of your IT infrastructure

Get H2O.ai in Virtual Private Clouds with Enterprise Puddle

Low barrier to entry

Enterprise Puddle offers a secure and convenient way to launch H2O.ai products on private clouds

Available on Azure, AWS and GCP
 

IT and Enterprise Ready

Secure environments run in customer VPC (data and experiments)

Easy to manage resources, users, permissions
 

Significant Cost Savings for IT

Helps manage total costs by controlling instance types, turning off idle instances and managing entitlements for users

Provides a metrics/stats dashboard for DevOps to monitor usage
 

Ease and Flexibility for Data Scientists

Helps manage total costs by controlling instance types, turning off idle instances and managing entitlements for users

Provides a metrics/stats dashboard for DevOps to monitor usage

Try Driverless AI in
the Cloud

Cloud Downloads

H20 Open Source
Platform

Cloud Downloads

Deploy Models in
the Cloud

Coming Soon!

Cloud Downloads
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