H2O and H2O Driverless AI Fully Optimized on Google Cloud Platform Speed Up Deployments for the Enterprise
H2O.ai, an open source leader in AI, announced a collaboration with Google Cloud to integrate the company’s full suite of products, including open source platform, H2O-3, and the automated machine learning platform, H2O Driverless AI, with Google Cloud Platform (GCP) to supercharge AI and machine learning capabilities in the cloud. The combination provides data science teams with a machine learning platform that is optimized and ready-to-use on an entire data management infrastructure within a matter of days. With these new integrations, enterprise customers can efficiently and effectively harness the full potential of their data with AI to make mission-critical business decisions.
“Customers are looking for AI solutions that are not only simple to implement and use, but that will also scale with their organizations over time, so we’re excited to integrate H2O.ai’s products and capabilities with Google Cloud Platform,” said Adam Massey, Director of Global Technology Partners at Google Cloud. “Our collaboration will give customers access to enterprise-grade machine learning and AI capabilities from both H2O.ai and Google Cloud.”
With this partnership, H2O.ai and Google Cloud are poised to speed innovation for a rapidly growing market: IDC predicts that spending on AI and machine learning will grow from $12B in 2017 to $57.6B by 2021, and that enterprise spending on cloud services and infrastructure will be more than $530 billion by 2021.
The new integrations of H2O.ai product suite with Google Cloud Platform include:
- H2O-3 and Driverless AI on Google Cloud Platform Marketplace: H2O-3 and Driverless AI are both now available on Google Cloud Platform Marketplace, allowing any organization using Google Cloud to start an H2O cluster or use Driverless AI to either start or build on their machine learning workflows.
- H2O-3 and Driverless AI with KubeFlow: H2O-3 and Driverless AI integrations work with the open source technology to allow organizations deploying machine learning workflows on Kubernetes to run across open hybrid infrastructure. It allows for automatic and elastic scaling.
- H2O Sparkling Water with Google Data Proc: This new integration between H2O Sparkling Water and Google Cloud enables data science teams to migrate their big data machine learning workloads to Google Cloud with Apache Spark and H2O.
- Driverless AI on Google BigQuery: Driverless AI can now ingest data from Google BigQuery, allowing organizations who have moved their assets off servers to bring that data to Driverless AI without needing to also copy or transfer it into another depository.
“H2O is democratizing AI by making automatic machine learning for the enterprise faster, cheaper and easier. We are excited at the deep partnership with Google Cloud Platform to make that vision real by bringing best in class scalable infrastructure together with robust open source AI ecosystem. TensorFlow and H2O4GPU are core to Driverless AI architecture,” said Sri Ambati, CEO and founder of H2O.ai. “With H2O Driverless AI on the Google Cloud Platform customers can trust in AI to transform business processes with faster time to market and scale past the current limits and talent gap in AI and Cloud. The teams at Google and H2O are working relentlessly to make AI ubiquitous and easy for businesses worldwide.”
Recommended Read: SparkCognition Expands Partnership with Google Cloud
Scrap copper logistics Copper recycling center Scrap metal quotations
Copper cable buyer, Scrap metal prices, Scrap Copper refining
This is a very high quality article. Thank you for sharing this article with us.