Union Cloud

Flyte 2 is here!Join the production preview, hosted on Union.aiChat with an engineerResults, proven in production.LogisticsGojek scales ML operations and cuts costs with FlyteLogisticsHopper visualizes 4.4 billion flight prices with pure Python orchestrationAIHow Dragonfly scales agentic research across 250k productsAutonomous SystemsWoven by Toyota saves millions and scales autonomous driving with Union.aiBiotech & HealthcareRezo accelerates drug discovery while saving >90% on compute costs with Union.aiBiotech & HealthcareArtera scales personalized cancer therapy with Union.aiFinancial Services & FintechPorch accelerates data and ML operations by migrating from Airflow to Union.aiBiotech & HealthcareDelve Bio accelerates infectious disease diagnostics with Union.aiFinancial Services & FintechSpotify cuts quarterly forecast time in half with FlyteAutonomous SystemsWayve accelerates autonomous driving R&D with Flyte’s scalable orchestrationBiotech & HealthcareCradle accelerates ML development for protein design with FlyteMedia & EntertainmentWarner Bros. Discovery accelerates ML workflow delivery and reduces costs with FlyteAIKineo accelerates AI delivery and cuts orchestration costs with FlyteGeospatialMethaneSAT uses Flyte to orchestrate global methane reduction from spaceFinancial Services & FintechStash cuts pipeline compute costs by 67% with FlyteGeospatialBlackshark.ai scales Earth’s Digital Twin with FlyteLearn the latest about Union.ai and FlyteSort by dateWe Compared the Data Models of Every Major AI OrchestratorArticle3/24/2026Hopper visualizes 4.4 billion flight prices with pure Python orchestrationCase Study3/17/2026Flyte 2 OSS: Now Available for Local ExecutionArticle3/4/2026No items found.PreviousLoad more1 / 47How Dragonfly scales agentic research across 250k productsCase Study1/22/2026Rezo accelerates drug discovery while saving >90% on compute costs with Union.aiCase Study1/6/2026Woven by Toyota saves millions and scales autonomous driving with Union.aiCase Study12/8/2025Wayve accelerates autonomous driving R&D with Flyte’s scalable orchestrationCase Study11/4/2024Cradle accelerates ML development for protein design with FlyteCase Study4/18/2024Porch accelerates data and ML operations by migrating from Airflow to Union.aiCase Study4/10/2024Artera scales personalized cancer therapy with Union.aiCase Study3/13/2024Delve Bio accelerates infectious disease diagnostics with Union.aiCase Study12/21/2023Warner Bros. Discovery accelerates ML workflow delivery and reduces costs with FlyteCase Study10/9/2023Kineo accelerates AI delivery and cuts orchestration costs with FlyteCase Study8/17/2023MethaneSAT uses Flyte to orchestrate global methane reduction from spaceCase Study3/10/2023Stash cuts pipeline compute costs by 67% with FlyteCase Study2/25/2023Blackshark.ai scales Earth’s Digital Twin with FlyteCase Study3/17/2022Spotify cuts quarterly forecast time in half with FlyteCase Study3/17/2022Gojek scales ML operations and cuts costs with FlyteCase Study3/17/2022Start today and scale
with confidence.Chat with an engineer --- Flyte 2 is here!Join the production preview, hosted on Union.aiChat with an engineerSimple pricing for complex AI systems.Monthly credits. Predictable costs. No surprises.Team$950 / mo + usage*$950 credited to usage monthlyChat with usFor teams building AI from experiment to production.1,000 concurrent actionsWorkflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.30-day data retentionWorkflows can automatically recover from interruptions and continue where they left off.1 clusterTest and debug tasks in your local environment using the same Python SDK that runs in production on Kubernetes.EnterpriseCustomSignificant volume discountsChat with usFor organizations building mission-critical AI, ML, and agents.Significant volume discountsBuild and scale dynamic AI/ML workflows using Flyte’s open-source apltform and community.Custom concurrent actionsWorkflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.Custom retention optionsWorkflows can automatically recover from interruptions and continue where they left off.3+ clustersTest and debug tasks in your local environment using the same Python SDK that runs in production on Kubernetes.Enterprise-grade securityTest and debug tasks in your local environment using the same Python SDK that runs in production on Kubernetes.White-glove supportTest and debug tasks in your local environment using the same Python SDK that runs in production on Kubernetes.Usage (Team plan)Union.ai doesn’t sell compute, it optimizes how you use it. Usage is billed as a combination of actions and action-allocated resources your workflows use, never for idle capacity.Allocated resources*Pay less with an Enterprise plan. Contact us for custom rates.GPUT4gT4L4A10GA100V100L40SH100H200B200$ / Hr$0.1516$0.2854$0.3398$0.3969$0.6176$0.6541$0.7342$1.3760$1.5824$2.8483CPUvCPU$ / Hr$0.0417Memory1 GB$ / Hr$0.0051“Union.ai has been critical at the time that we needed to significantly scale up... Union.ai’s wealth of expertise has enabled us to move fast and deliver at scale.”Alborz Alavian‍Senior Engineering Manager, Woven by ToyotaCompare plans & featuresTeamChat with usEnterpriseChat with us PlatformVolume discountsMonthly usage credit$950CustomData retention30 days1 yearInfra-aware orchestrationDynamic, Python-based workflowsReal-time inferenceUltra-low latencyUltra-low latencyIntegrated cost trackingReusable containersPrice/action$0.0075CustomDurability & DebuggingDebugging & error handlingAdvanced debugging, automatic retriesAdvanced debugging, automatic retriesOutput cachingTask-level overridesLive remote debuggingScalabilityActions/run (fanout)25,00050,000+Concurrent actions1,000CustomClusters13+Multi-cloudMulti-regionSecurity & SupportSSOStandard (OIDC)Custom (OIDC, SAML/p)Role-based access controlStandardFine-grained, customManaged secretsSecurely stored in your cloudSecurely stored in your cloudVPCUnion-managedUnion-managed or self-managedWhite-glove onboardingDedicated support1 business day Sev 1Custom white-glove supportFrequently asked questions Do you offer discounts for startups?Yes we do! Talk to our Startup Team to learn more.Do you offer discounts for NGOs, universities, or non-profits?Yes we do! Talk to our Public Sector Team to learn more.How do monthly credits work for the Team plan?Your monthly plan fee is issued back to you as usage credits. In practice, this means your monthly plan cost becomes your minimum monthly spend, and you can use that same amount in usage at no additional charge. Any usage beyond that amount is billed separately.What is an action?An action is an individual execution of a task. It represents a specific invocation of a task with particular inputs. If a task runs multiple times (such as inside a loop) you’ll see multiple actions, one for each invocation.Can my team have a forward-deployed engineer (FDE) from Union.ai to help us build?Yes, this is available as part of a Union Enterprise plan. Book a consultation with an engineer to learn more.Do you offer a self-hosted control plane as a deployment option?Yes, this is one of the deployment options available as part of a Union Enterprise plan. Self-hosted deployment supports on-prem, hybrid, and airgapped configurations. Book a consultation with an engineer to learn more.How do you calculate GPU, CPU, Memory hours of usage?We report the allocated resources (CPU, Memory, and GPU accelerator) from each container running the actions within your workflows and apply usage-based pricing down to the second. We do not include the resources consumed by any other services. Therefore, if you run Union on a shared K8s cluster, you are only paying for usage on the resources consumed by your Union tasks and workflows.Is Union.ai a SaaS service?No. You deploy the Union operator into a Kubernetes cluster you manage, which securely communicates with the Union control plane to poll for work. Your workflow executions, code, images, data, logs, and secrets all remain in your VPC/cloud, and are inaccessible to Union.What’s the difference between action concurrency and actions/run (i.e., task fanout)?Fanout is the total number of actions a run creates, while concurrency is how many of those actions are running at the same time. For example, a run might fan out to 50,000 actions but only execute around 100 of them concurrently.Can I run Union.ai in my own cloud environment?Yes, Union.ai supports bring-your-own-cloud (BYOC) deployments. You can run it in your own AWS, GCP, Azure, or neo-cloud environment while maintaining full control over your data, security, and infrastructure.Need a sanity check? Walk us through what you’re building.Chat with an engineer --- Flyte 2 is here!Join the production preview, hosted on Union.aiChat with an engineer --- Flyte 2 is here!Join the production preview, hosted on Union.aiChat with an engineerThe AI development cycle, unified.OrchestrationTraining & Fine-TuningInferenceObservabilityAccelerate AI/ML workflows and agents from experiment to production. Provision and scale resources on-demand.Scale model training effortlessly across clusters with automatic caching and reproducibility.Perform real-time inference with ultra low latency on the same platform you use to train and orchestrate.Gain visibility across the development cycle. Cost and usage allocation dashboards. Easily discoverable logs and failures.Integrate deeply with data, models, and compute to build faster.True agency for AI/ML workflows at runtimeAuthor in pure Python and enable custom branching, looping, and automatic retries at runtime with dynamic decision-making. ↓96%iteration time50k+actions/run<100mslatencyMake workflows feel invincibleBuild durable workflows that recover from failure automatically. Monitor and debug with logs streamed to the UI.Integrate with the tools you love, no lock-inAny cloud, any model, unstructured data. Spark, Ray, Dask, PyTorch, and hundreds more integrations.“We want to simplify and not have to think about different technology stacks. We want to write everything in a Union workflow and have one platform for orchestrating these jobs; that’s awesome and less stuff for us to worry about.”Thomas BusathMachine Learning Engineer, PorchBuilt for AI builders.Accelerate engineers with tools to make their lives easier.Reuse containers for <100ms task startup timeUse one warm-start, reusable container for all similar tasks.Debug buttonDebug remote tasks you run, line-by-line, on the actual infrastructure where your tasks run.Secure, private, and compliant by designProtect data with enterprise-grade security and fine-grained access control.Start today and scale
with confidence.Chat with an engineer