Overview
H2O's Driverless AI is an artificial intelligence (AI) platform that automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection, and model deployment. It aims to achieve highest predictive accuracy, comparable to expert data scientists, but in much shorter time thanks to end-to-end automation. Driverless AI also offers automatic visualizations and machine learning interpretability (MLI). Especially in regulated industries, model transparency and explanation are just as important as predictive performance.
Highlights
- Automatic Feature Engineering
- Automatic Visualization
- Machine Learning Interpretability
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Please note that this listing operates under a Bring Your Own License (BYOL) model. As such, refund requests are governed by the terms associated with your original license purchase.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 1.11
New Features: Support using Autodoc custom templates from AWS S3.
Built on top of the latest stable versions of all major open-source packages. Updated to Python 3.11.
Updated to Java 17.
Updated to Torch 2.3.0 and TensorFlow 2.12.1.
Updated to CUDA 11.8, Requires NVIDIA CUDA Driver 470 or later.
Updated h2o3, numpy, datatable, pytorch-lightning, Pandas, scikit-learn and many more dependencies.
Many security vulnerabilities are fixed.
Added support for tagging datasets linked to projects.
Improvements: Keep all temporary directories within the experiment directory to avoid leaving them around after cleanup.
Make Spectrum Conductor login asynchronous.
Remove temporary directories created during dataset import after the import is completed.
Snowflake connector integration with H2O Secure Store, which enables OAuth based authentication with Snowflake via a third-party Okta IdP.
Added Multi-GPU support for Image and BERT models.
Enhanced the admin API to allow listing, aborting, and deleting user entities for any user.
Updated SpectrumConductor login to be asynchronous.
Show "No datasets were loaded" message when a data recipe returns no results.
Turn REPRODUCIBLE ON when a seed is set in experiment expert settings.
Lower the priority of the deletion task to prevent server hangs.
Clean temporary directory created during dataset import.
Add matching configuration option snowflake_keycloak_broker_token_endpoint for previously introduced environment variable DAI_SNOWFLAKE_KEYCLOAK_BROKER_TOKEN_ENDPOINT.
Bug fixes: Enable splitting of the date column even when it is of integer type.
Upgraded Keras & TensorFlow to address security vulnerabilities.
Upgraded setup tools to address security vulnerabilities
Fixed issue with LightGBM labels.
Fixed test dataset being switched to original when creating a new experiment with the same settings of an existing experiment.
Hide the WIZARD SETUP menu item when enable_experiment_wizard=false.
Fixed various UI issues.
Fixed SSL failure when connecting to OpenAI API.
Fix the inconsistent state for OFF option for the time column in experiment settings.
Enable the following missing MLI explainers.
- Friedman's H-statistic
- Absolute Permutation-Based Feature Importance
- Relative Permutation-Based Feature Importance
Documentation: Added links to h2oGPTe documentation
Updated the links in the MOJO Java runtime options to point to the new repository.
Additional details
Usage instructions
"Point your browser to http:// [public IP address of the started instance] :12345 Login username: "h2oai". Login password is the "InstanceID"
Resources
Vendor resources
Support
AWS infrastructure support
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