Companies around the world are looking for AI solutions to increase revenue growth, optimize operations, mitigate risk and personalize customer experiences. Additionally, many are using AI technologies to drive research breakthroughs and uncover new opportunities for market disruption. Powered by world-class automated machine learning (autoML), the H2O AI Cloud is pivotal in driving such innovation efforts all the way from initial idea to real-world impact.
The H2O AI Cloud solves complex business problems and accelerates the discovery of new ideas with results you can understand and trust.
One Platform. Endless Solutions.
Build models and applications with accuracy, speed and transparency.
Streamline performance monitoring and rapidly adapt to changing conditions.
Easily deliver innovative solutions to end users with an intuitive AI AppStore.
Full Platform Capabilities
Our comprehensive automated machine learning (autoML) capabilities transform how AI is created and consumed. We have built AI to do AI, making it easier and faster to use, while still maintaining expert levels of accuracy, speed and transparency.
Train and deploy in any environment.
Support for multiple user personas.
Various modeling approaches for all data types.
Optimized model creation with autoML.
Real-time data drift detection.
Robust combination of proprietary and open source algorithms.
Optimized performance for CPUs and GPUs.
Real-time, submillisecond predictions.
Extensive autoML capabilities across the data science lifecycle.
Streamlined governance and provisioning.
Distributed machine learning for large datasets (petabytes).
Automated model documentation.
Machine learning interpretability toolkit.
Global leadership in autoML, time series forecasting and Responsible AI.
H2O AI Cloud has two deployment options, Hybrid and Fully Managed.
Fully Managed Cloud
The Fully Managed deployment option provides the easiest way to get started and securely operate the H2O AI Cloud.
Complete H2O AI Cloud
Dedicated single-tenant cloud environment
Multi-layer security with encryption in transit and at rest
Virtually no infrastructure management
The Hybrid Cloud deployment option provides complete control over infrastructure, software updates, security, and compliance. Customers can operate the Hybrid Cloud in any cloud or on-premises IT environment.
Complete H2O AI Cloud
Complete control – customer managed environment
Choice of cloud or on-premises environment
Run in compliant environments such as PCI-DSS, HIPAA, and FedRAMP
Low-latency – Bring AI near data and apps
The H2O AI Cloud connects teams across every stage of making, operating and innovating with AI.
Advanced autoML capabilities encompass the entire data science lifecycle, optimizing workflows to increase both the quantity and quality of data science projects delivered to business stakeholders. Robust features for machine learning interpretability and operations give you seamless control over the entire explainability pipeline, resulting in higher accuracy, increased transparency and faster response times to changing circumstances.
H2O speeds up our iteration cycles so our team can focus on the core tasks: problem formulation, model design, and insight interpretation.”
Yan Yang, VP of Data Sciences
Automatic conversion of deployment artifacts from Python/R to Java/C++ simplifies the handoff of projects between data science teams and developers, and provides seamless integration of AI capabilities into existing solutions. Our open-source, low code development framework provides flexibility to work with all major libraries and frameworks and accelerates the creation of new AI applications.
H2O allowed us to interface directly with our existing application and it scales for our massive dataset. There is nothing else like it."
Satya Satyamoorthy, Director of Software Development
Machine Learning Engineers
Guarantee that deployed models are operating as intended with comprehensive model monitoring features designed to support both H2O.ai and third-party models. The H2O AI Cloud’s comprehensive model management capabilities are accessible through a visual interface or an API.
In a regulated industry such as banking, the ability to explain what any model does is an absolute requirement. Decisions made by models must not only be sound but also must be fair. The team at H2O.ai has tackled this with machine learning interpretability and disparate impact analysis to detect bias and fairness. H2O.ai by far has the most sophisticated and complete tools to address these critical requirements for data scientists today."
Agus Sudjianto, EVP and Head of Corporate Model Risk
DevOps and IT Professionals
The H2O AI Cloud provides high performance computing with full NVIDIA RAPIDS integration. Easily scale workloads with support for the unprecedented compute and network acceleration of Ampere-based NVIDIA GPUs and latest CUDA runtime. Monitor system usage and provide metrics for resource monitoring and autoscaling of multi-node clusters through our platform performance API.
When we started the business, we had a metric that we needed to produce a decision for a client by our API in 40 milliseconds or less... We've gone from that... to a one half of one-millisecond threshold. So we're now measuring performance in nanoseconds."
Marc Stein, CEO
The AI AppStore makes it easy and intuitive for business users to find and access AI applications that are custom built to meet your unique business needs. These solutions are powered by robust machine learning models and provide real-time insights for data driven decisions.
Generally, at best, we could do things once a month or once a quarter. With H2O, things are more real time and a lot faster. Rather than people spending resources, managing the databases and running the queries, they can spend time understanding the results and we can interpret it and translate it into proper management actions.”
Kang Yuan Wong, Head of Analytics and Strategy