Union

Union

Union runs durable AI workflows, real-time inference, and compute optimization in your own cloud infrastructure.

Category:AI Workflow
subscription
Last Updated 8/28/2026

About Union

Union is an AI runtime for teams that need to run durable AI and machine learning workflows inside their own cloud infrastructure. It uses Python-based workflows and the Flyte open-source platform, supports runtime logic, conditions, retries, caching, and live remote debugging, and tracks usage costs. Interrupted workloads can resume instead of starting over. It also handles real-time inference and compute optimization while keeping sensitive data in the customer infrastructure. The Team plan includes one cluster, 1,000 concurrent actions, fanout up to 25,000 actions per run, 30-day retention, OIDC SSO, role-based access control, managed secrets, and dedicated support. Enterprise raises or customizes those limits, adds at least three clusters, one-year retention, finer access controls, and custom support. Pricing combines a monthly usage credit with metered actions and allocated CPU, memory, or GPU resources, so buyers should estimate both workflow volume and resource mix.

Best for

AI and ML platform teams operating workloads on Kubernetes
Organizations that must keep sensitive data in their own infrastructure
Teams with variable CPU, memory, or GPU workflow demand

Best use cases

Durable training or batch pipelines that need automatic retries

Low-latency inference applications deployed in a private cloud

Large fanout workflows that need cost and resource tracking

Compare before choosing

Team has a $950 monthly minimum that becomes usage credit

Team supports one cluster while Enterprise supports three or more

Enterprise provides custom limits, pricing, retention, and access controls

Features

Orchestrate durable AI workflows

Build Python workflows with runtime conditions, retries, caching, and recovery from interruptions.

Run real-time inference

Operate low-latency inference applications in the organization’s own cloud infrastructure.

Optimize compute use

Track workflow costs and pay for actions and allocated resources rather than idle capacity.

Pros

  • Automatic retries and recovery reduce work lost to interruptions.
  • A shared Python SDK connects local debugging with Kubernetes production.
  • Sensitive data remains in the customer infrastructure.

Cons

  • Team requires a $950 monthly minimum spend.
  • Action and resource charges make forecasting more involved.
  • Team limits deployments to one cluster and 30-day retention.

Pricing Plans

Team

$950 monthly usage creditmonthly
  • $0.0075 per action
  • 1,000 concurrent actions
  • 25,000 actions per run
  • 1 cluster
  • 30-day data retention
  • Dedicated support

Enterprise

Customcustom
  • Custom action pricing
  • Custom concurrent actions
  • 50,000+ actions per run
  • 3+ clusters
  • 1-year data retention
  • Custom white-glove support

* Pricing information is for reference only. Please refer to the latest announcement on Union's official website.

FAQ

The monthly plan fee is returned as usage credits. It becomes the minimum monthly spend, and usage beyond that credit is billed separately.
An action is one end-to-end invocation of flyte.task, flyte.trace, or flyte.new_condition.
Union offers discount discussions for startups and for NGOs, universities, and nonprofits through its sales teams.

Tool Information

DeveloperUnion
Release Date7/20/2026
Pricingsubscription