$0.50 per compute hr 2
Billed per pipeline runtime: 1 CPU hour or 4 GB RAM hour, whichever comes first.
AI sidekick
Context-aware coding and instant debugging
50K AI tokens
Assisted coding and suggestions
1+ cluster
Prod to build and run workflows
What is a block run?
Each block run is one execution of a modular step in a pipeline. For example, if a pipeline has 5 blocks and you run it once, that counts as 5 block runs.
Deployment Types
Included
Managed cloud
Fully hosted with zero infrastructure management
Quote
Hybrid cloud
Control plane in Mage’s cloud, data processing in your private cloud
Quote
Private cloud
Full platform deployed in your cloud, with complete control over all components
Quote
On-premises
Deployed in your data center for maximum data sovereignty and infrastructure control
Regional Deployment
Can Mage Pro be deployed in my region or on-premises for data residency requirements?
What level of onboarding and migration support is provided?
What happens if I use more compute or users than my plan allows?
How do I get a personalized demo or proposal for my organization's needs?
Can I estimate my monthly or annual cost before committing?
Are there additional costs for onboarding, support, or customizations?
How are compute hours determined and priced?
Your AI data engineer
Get started today
1 Block runs are available each month and do not roll over.
2 On-demand usage charges only apply when running pipelines with the Kubernetes (k8s) executor, designed for jobs that need more than 8GB RAM or horizontal scaling. If using the default local_python executor there are no additional usage costs. Compute hours are billed in fractions, not rounded up to the next full hour.