Keep your Mac tasks running
on a dedicated physical machine
Launch an Apple Silicon cloud Mac on demand for continuous Xcode builds, automated testing, AI experiments, and media processing. Every order includes one dedicated physical machine—not a virtual machine.
- label
- macos-m4
- scope
- repository
- cache
- restored
- session
- verified
- Node
- JP-TYO
- Configuration
- M4 / 24GB / 512GB
- Term
- MONTHLY
- Status
- READY
No need to replace the tools your team already knows
Use a cloud Mac as a remote development host or register it as a dedicated self-hosted runner in your existing CI/CD pipeline. Your team remains in control of tool versions, labels, caches, and concurrency policies.
After delivery, verify the system version, Xcode version, command-line tools, and project-directory permissions before registering the runner. Your team configures signing materials, secrets, and post-task cleanup according to least-privilege principles.
Keep tasks running without tying up your desktop
Choose a model, term, and physical node, and SoarMac handles machine allocation and delivery. Reproduce your development toolchain, register a self-hosted runner, or leave long-running experiments and export jobs running.
- Continuous buildsBind a fixed label to a dedicated runner, reuse dependency caches, and limit concurrency.
- Temporary testingCreate an isolated environment by the day or week, then move out the results after validating the release.
- AI experimentsRun long jobs on a high-memory configuration and save checkpoints by stage.
- Media processingSync source media remotely, run batch processing and exports, then deliver the results to team storage.
Current term
Term changes and renewal prices are shown before confirmation—no hidden fees behind vague packages.
Delivery progress
Four task types, checked step by step from input to execution to output
Whether a cloud Mac is the right fit depends less on broad performance claims and more on whether your task can be reproduced, run continuously, and produce portable results.
From code commit to signed package
- Input
- Code repository, dependency lockfiles, signing materials, and target build configuration.
- Run
- Restore dependencies and caches, run Xcode Archive, verify signing, and export the installable package.
- Result
- Downloadable build artifacts, logs, and details for locating failed steps.
Connect a self-hosted runner
- Input
- Pipeline definition, runner registration details, dedicated labels, and cache directories.
- Run
- Register the executor, set concurrency limits, inject required secrets, and clean up after each task.
- Result
- Build tasks reach the assigned physical machine by label, while logs return to your existing CI system.
Keep long-running jobs and checkpoints
- Input
- Experiment code, datasets, dependency environment, checkpoint directory, and evaluation scripts.
- Run
- Run experiments continuously on the 64GB M4 Pro tier, save checkpoints on schedule, and monitor resource pressure.
- Result
- Keep experiment logs, staged artifacts, and checkpoint files ready for continued execution.
Remote batch processing, export, and delivery
- Input
- Source media, export presets, batch-processing scripts, and team delivery directory.
- Run
- Sync media, run transcoding, rendering, or batch exports, and continuously record task status.
- Result
- Sync finished files, verification data, and processing logs to team storage.
Configurations and four billing terms, shown upfront
All three are dedicated Apple Silicon physical machines, not virtual machines. Daily, weekly, monthly, and quarterly prices are listed in USD for easy comparison before you choose a term.
SoarMac M4 Air
Ideal for personal development, temporary testing, single-task builds, and light CI.
Order SoarMac M4 AirSoarMac M4 Plus
Ideal for parallel dependency installation, multi-task builds, continuous testing, and media batch processing.
Order SoarMac M4 PlusSoarMac M4 Pro
Ideal for large projects, AI experiments, long-running jobs, and high-memory workflows.
Order SoarMac M4 ProNeed to compare additional storage, Thunderbolt 5 linking, and the full bill structure for different terms?
View complete plans and add-onsChoose a node near your primary users
SoarMac M4 Air, SoarMac M4 Plus, and SoarMac M4 Pro are available in Singapore, Tokyo, Seoul, and Hong Kong. Actual availability is returned in real time by the console.
Singapore
Ideal for development hosts, CI runners, and remote processing tasks accessed from Southeast Asia.
- Region
- Southeast Asia
- Catalog configurations
- 3 tiers
Japan (Tokyo)
Ideal for accessing graphical interfaces, build logs, and test results from Japan and East Asia.
- Region
- East Asia
- Catalog configurations
- 3 tiers
South Korea (Seoul)
Ideal for continuous builds and remote collaboration workflows accessed from Korea and Northeast Asia.
- Region
- Northeast Asia
- Catalog configurations
- 3 tiers
Hong Kong
Ideal for accessing development environments and transferring task results from South China and Southeast Asia.
- Region
- South China and Southeast Asia
- Catalog configurations
- 3 tiers
Assess node latency separately from service targets
Latency data helps with initial node selection before ordering; it does not replace real network testing after delivery. Teams should remeasure using their own office network, VPN path, and target repository.
Measured node latency
Test window: weekdays 14:00–16:00 UTC · public broadband in each city · 30 ICMP samples per group · median shown
| Access city | Singapore | Tokyo | Seoul | Hong Kong |
|---|---|---|---|---|
| Singapore | 12 ms | 72 ms | 84 ms | 39 ms |
| Tokyo | 69 ms | 9 ms | 31 ms | 48 ms |
| Seoul | 78 ms | 29 ms | 8 ms | 43 ms |
| Hong Kong | 36 ms | 46 ms | 41 ms | 7 ms |
First compare the row for your team’s main access city, then choose a node based on your repository, artifact storage, and collaborator locations.
Provider routing, cross-border links, VPNs, wireless networks, and peak-time congestion can all change actual results.
Observed over the last 90 days
Availability is calculated according to the scope of service impact and measurement method defined in the service terms.
For eligible service impacts, we retain an incident timeline and provide compensation according to the scope, claim window, and calculation method in the service terms. User actions, network paths, and events outside our responsibility are handled within the stated terms.
Start validating your workflow with one dedicated physical machine
Choose one of three models, a term, and one of four available nodes. We support only USDT-TRC20 and Visa / Mastercard / Amex (via Stripe); available payment gateways are returned by the console.