Overview
Productionize AI & ML Workflows at Scale Union empowers AI and ML teams to concentrate on production. It eliminates infrastructure constraints and complex setup processes, streamlining their workflow for 10x productivity.
Seamless workflow orchestration: Union provides a seamless and user-friendly platform for managing and orchestrating machine learning and data pipelines. It eliminates the need for manual infrastructure maintenance and scaling, allowing ML engineers and data scientists to focus on their core tasks and deliver projects efficiently.
Accelerated time to market: With Union production-grade AI orchestration, organizations can significantly reduce the time required to bring ML and data projects to market.
By offering a common architecture pattern and abstracting away infrastructure complexities, Union streamlines processes, reduces boilerplate code, and cuts pipeline costs by up to 90%.
Highlights
- Workflow orchestration platform based on the Flyte open-source project managed in your cloud account.
- Flyte is already used by hundreds of major organizations to run AI, ML and data pipelines.
- Union abstracts away the required infrastructure, providing a turnkey platform that lets your AI, ML engineers and data scientists focus on what they do best.
Details
Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Annual Commit | Annual commit fee for full access to union.ai managed Flyte service | $30,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
---|---|
extra usage in managed Flyte service overage the commit amount | $0.10 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
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