ArmRDP Cloud Mac gives you an entire Mac mini. It’s a dedicated physical machine, not a virtual machine. Keep your toolchain consistent so every build runs in a traceable environment.
We built this service around a simple need: developers don’t need more environment differences. They need a Mac that won’t compete with day-to-day development and can keep running tasks reliably. Keep archiving, code signing, exporting, and runners in the same controlled environment—without having to figure out which toolchain changed right before a release.
Rent by the day, from $21.1/day. Check the console for current availability.
Control over your build environment starts with knowing who the resources belong to. We don’t split a Mac between tenants or substitute a virtual machine for a physical one.
For your entire rental, the Mac mini is yours to use. Its unified memory, SSD, and processor belong to the machine you’re renting—not a quota carved out of a shared host.
That doesn’t mean every task should run at once. Concurrent builds still compete for the machine’s memory and disk, so set runner concurrency based on tests with your project.
Xcode, simulators, and Metal run on a physical macOS machine. Use the desktop to troubleshoot interactive issues and the command line for archiving, signing, and automation.
We provide the environment, but don’t guarantee a fixed build speed for any specific project. Task duration depends on factors such as dependency downloads, cache hits, and test volume.
Choose and pin your Xcode version, then register the machine as a self-hosted runner for GitLab or GitHub Actions so your pipeline targets a known environment.
We recommend recording your Xcode version, dependency lockfiles, runner labels, and build parameters together. Test upgrades before switching production tasks—don’t change environments mid-release.
Singapore, Tokyo, Seoul, Hong Kong, and the western United States. These locations give teams options closer to home and let runners sit nearer to the code and artifact services their projects use.
For teams across Southeast Asia. A good fit for teams running hands-on debugging and automated builds on the same machine.
For teams in East Asia. Convenient for remotely checking Xcode and simulators during local working hours.
For teams across Northeast Asia. A regional option for day-to-day development, signing checks, and runner debugging.
For teams in southern China and Southeast Asia. Suited to workflows that regularly use screen sharing to inspect the build environment.
For teams on North America’s west coast. Choose based on your routes to code repositories, dependency sources, and artifact uploads.
The first is your connection to the machine, which affects VNC responsiveness. The second is the machine’s route to your code repository, dependency sources, and artifact storage, which affects downloads and uploads. If automated builds are your main workload, don’t choose a location based only on how the desktop connection feels. All three machine plans are available in all five locations. Check the plans page for full specifications and current availability.
All locations operate year-round, 365 days a year. The figures below are service targets and credit rules—not historical monitoring data or a guarantee that every build will succeed.
Monthly uptime commitment
99.9%
About 43 minutes of downtime in a 30-day month
30 × 24 × 60 × 0.1% = 43.2 minutes
Downtime beyond the allowance is converted into service credits based on its duration. When submitting a request, distinguish an unavailable machine from user actions or project build failures. Compiler errors, certificate configuration issues, and dependency failures don’t by themselves count as machine downtime.
Sign in to the console and open a support ticket with your machine ID, affected time range and time zone. Include connection errors or task logs. Keep the original records to help us verify service during that period.
Force majeure, user actions, and the rules for requests and service credits are governed by the Terms of Service.
We don’t access or analyze user files or code on rented machines. A dedicated physical machine clearly separates tenants, but your team still needs to manage credentials, backups, and CI permissions. Physical isolation doesn’t replace those safeguards.
Back up any code changes, build artifacts, and configuration you want to keep to your team’s own storage. Don’t rely on the rented machine as your only copy. Caches can be rebuilt; uncommitted work and signing materials need to be saved by your team.
After your rental ends, the machine goes through disk erasure and environment reset. Your data isn’t kept as part of the next rental’s environment, and the next tenant won’t inherit your working directory.
Once erasure and environment reset are complete, the machine can proceed to the next delivery. Your team should also remove the old runner registration and access tokens from its CI platform, and rotate any credentials used on the machine. Disk erasure does not revoke external authorizations.
A machine ID, time range, error output, and reproduction steps are usually more useful than an entire project. Before sharing logs, remove private keys, certificate passwords, access tokens, and business data. See our Privacy Policy for how we handle account, order, and support ticket records.
We only rent dedicated physical Macs. Recommendations must be grounded in specifications, pricing, or clear steps—not vague claims about being faster.
We list chips, unified memory, SSD, rental prices, and location coverage separately. We label example workflows as examples—not monitoring data—and don’t turn one project’s results into a performance promise for every team.
Clear prices for daily, weekly, monthly, and quarterly rentals. Storage upgrades and Thunderbolt 5 daisy chaining are listed separately. All charges are in USD. We accept USDT-TRC20 and Visa / Mastercard / Amex via Stripe. Check the backend for currently available payment gateways.
First, we explain how to connect, pin your toolchain, and register a runner. Then we can discuss adding machines. Get your first pipeline running and record task duration and resource use before deciding whether to upgrade a machine or add nodes to run in parallel.
Compare the three machine plans and four rental terms, then test with your actual project. If you’re unsure which setup to choose, tell us how often you build, which toolchain you use, and your concurrency needs.