Sold by: Cirrus Labs
Deployed on AWS
Tart is a virtualization toolset to build, run and manage macOS virtual machines on Apple Silicon. Create ephemeral isolated environment for your automations in seconds.
Overview
With more than 30,000 installations to date, Tart has been adopted for various scenarios. Its applications range from powering CI/CD pipelines and reproducible local development environments, to helping in the testing of device management systems without actual physical devices. Tart is the best solution for any automations on Apple Silicon.
Highlights
- Tart can store virtual machines in ECR container registry. Run the same Tart virtual machines locally and in the cloud.
- Tart is using native Virtualization.Framework that was developed along with architecting the first M1 chip. This seamless integration between hardware and software ensures smooth performance without any drawbacks.
- Tart toolset includes Orchard Orchestration tool that helps run and manage Tart virtual machines at scale on a cluster of Apple Silicon hosts. An Orchard Cluster exposes a simple REST API to manage thousands virtual machines.
Details
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Delivery method
Delivery option
64-bit (Arm) Amazon Machine Image (AMI) for macOS
Latest version
Operating system
MacOs 15.6
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
mac2-m2.metal Recommended | $0.08 |
mac2.metal | $0.08 |
mac2-m2pro.metal | $0.12 |
Dimensions summary
You pay by the hour for each macOS host instance you run. Pricing is billed per hour of usage, with no upfront commitment. The three dimensions represent different Apple Silicon host types: mac2.metal, mac2-m2.metal, and mac2-m2pro.metal. Each reflects a distinct hardware configuration running on AWS EC2 Mac Instances. You choose the host type that fits your workload, and your cost scales with how many hours each instance runs. Running more host types or more hours increases your total usage charge.
Top-of-mind questions for buyers
Each dimension maps to a different Apple Silicon hardware configuration running on AWS EC2 Mac Instances. mac2.metal, mac2-m2.metal, and mac2-m2pro.metal reflect distinct chip generations and resource specs. You pick the host type matching your workload. Each host runs virtual machines that share the host's CPU cores.
The software is metered by the hour each host instance runs. Fully stopped instances do not accrue hourly software charges. Note that underlying AWS storage or instance fees may still apply separately while an instance is stopped, depending on your AWS configuration.
Each host type bills independently by the hour. Running several host types at once means each accrues its own hourly charge, and the charges add together on one invoice. Your total scales with how many hosts run and how long each stays active.
tart.run
Helpful?
Vendor refund policy
Please email support+tart@cirruslabs.org .
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (Arm) Amazon Machine Image (AMI) for macOS
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Tart now stores VMs in sparsed files which saves disk space and increases clonning performance.
Additional details
Usage instructions
Try pulling a remore Tart Virtual Machine via "tart pull" command.
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours Please email support+tart@cirruslabs.org . AWS offering includes Priority Support for Tart.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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