Union Enterprise
Where the Team plan stops, Enterprise keeps going.
More clusters, higher concurrency, deployment on your terms, and support with a name on it, all priced on a commit that discounts every meter. Tell us what you’re running and we’ll put numbers to it.
- Past every Team ceiling: 3+ clusters, custom action concurrency, and 50,000+ actions in a single run.
- Deploy where you have to: fully hosted or self-hosted control plane for on-prem deployment.
- Governance your security team signs off on: custom SSO (OIDC, SAML), fine-grained RBAC, a year of retention.
- White-glove support on your SLAs, and a forward-deployed engineer who builds alongside your team.
“We can scale to 200,000–300,000 pods with the escalation logic baked right in, and the out-of-memory and scheduling headaches I used to fight are simply gone.”
Jay GanbatPrincipal Bioinformatics Engineer · Prima Mente“Our inference runs exceed the scale limits of a standard EKS cluster. With Union, we can have a single run span multiple clusters while having that single run spawn thousands of GPUs and call hundreds of thousands of actions, all of which are cached durably.”
Hariharan AnanthakrishnanPrincipal Engineer · Artera AI“Rather than dealing with eight new AWS users and all the permissions, we just set up intern projects… Using Union for compute helps a ton because we’re not setting up individual EC2 instances for each one of them.”
Jeff AlbrechtHead of Engineering · LGND“Initially it was something like four minutes, because we were pulling every layer. Now if I look at the logs, it’s always under one second. We never have any issue with cold starts.”
Arka PurkayasthaResearch engineer · Third Dimension AI“Definitely easier to scale than Ray, since you have a lot more granular control over streaming the parallelism. The parallel async model is nice to work with.”
Patrick SurryChief Data Scientist · Hopper
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