Paid tool

Union Cloud

Managed workflow orchestrator built on Flyte™ for scalable machine learning and data pipelines.

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Intro

What is Union Cloud?

Union.ai is a managed workflow orchestrator built on Flyte™ designed for machine learning and data engineering teams. As one of the prominent AI platforms, the Union AI solution manages complex execution pipelines directly on Kubernetes without the typical overhead of infrastructure configuration. For teams evaluating modern AI tools, it bridges the gap between data processing and machine learning by offering real-time cost observability, scale-to-zero resources, and secure data lineage. Developers can read detailed design patterns and deployment strategies directly in the Flyte docs.

Union Cloud at a glance
Free Trial, then usage-based compute or Contact for Pricing25K monthly visitsPaid access
Pricing

Union Cloud Pricing Plans

Compare Union Cloud free options, Union Cloud paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free Trial, then usage-based compute or Contact for Pricing

$30 in free credit, then usage-based compute

Designed for individuals and early testing. No credit card required. Compute is billed as: CPU Core at $0.12/Core-Hr, Memory at $0.029/GB-Hr, T4 GPU at $0.71/GPU-Hr, and A100 (40GB) GPU at $4.48/GPU-Hr.

Contact for Pricing

Discounted enterprise-grade AI platform running inside your custom cloud and VPC. Includes multi-tenant or single-tenant choices and tailored support options.

Contact for Pricing

Tiered enterprise pricing for secure, large-scale systems. Offers complete security control with deployment inside your cloud VPC or on-premises environment. Available on AWS, GCP, or Azure.

Pricing updated:Jun 12, 2026

Features

Union Cloud AI Features

Managed Flyte workflow orchestration with native support for Kubernetes deploymentReal-time cost observability, warm containers, and automatic scale-to-zero computingSecure customer-cloud and VPC data isolation options (SOC 2 Type I & II compliant)Comprehensive data lineage tracking and smart caching to optimize execution speedsPre-built integrations with major clouds (AWS, GCP, Azure), databases, and ML frameworks
Pros & Cons

Union Cloud Pros and Cons

Pros

  • Eliminates manual Kubernetes and infrastructure management for machine learning teams
  • Robust data security as sensitive pipeline data can remain within the customer's own cloud VPC
  • Flexible execution environments with serverless, start-up, and enterprise BYOC options
  • Strong cost observability tools that reduce runaway compute expenses

Limitations

  • Variable usage-based pricing depends heavily on the volume of managed compute
  • Enterprise features require direct coordination with sales and consultation teams

Union Cloud FAQ

Union.ai tracks execution state. If a task fails due to a Flyte import error or missing runtime library, users can easily debug the failure through graphical workflow visualizations and real-time logs before re-running or updating the container definition.