A dedicated physical machine, not a VM. Rent a Mac mini by the day from $21/day. Choose from 5 locations, and your machine will be ready in about 4 minutes after you order.
USDT-TRC20 · Visa / Mastercard / Amex (via Stripe) · Prices in USD
Indicative latency ranges; actual performance depends on your connection route.
Every plan gives you a dedicated Mac mini server. Choose daily, weekly, monthly, or quarterly billing—the longer the term, the lower the effective daily rate.
M4 · 16GB · 256GB SSD
$21/day
Great for lightweight builds and single-project CI. Keep your project, Xcode, and active test assets on hand, and clear build caches regularly to leave room for current work.
See full Hold 16 pricing →M4 · 24GB · 512GB SSD
$41.4/day
Ideal for everyday Xcode development, running multiple simulators, and UI testing. The 24GB of memory and 512GB SSD leave room for device images, dependencies, and multiple projects.
See full Hold 24 pricing →M4 Pro · 64GB · 2TB SSD
$59.5/day
Built for large-model inference, MLX experiments, and full builds of large projects. The 64GB of unified memory and 2TB SSD give you room for models, datasets, and large build artifacts.
See full Hold Pro 64 pricing →All 3 plans are available in all 5 locations. Availability is confirmed in real time in the console. See the plans page for pricing across all 4 billing cycles and add-ons.
CPU / memory / storage ownershipYours alone
You don't share CPU, memory, or storage with anyone else, and your machine doesn't run in a VM. Develop on it just as you would on a local Mac, with full access to the macOS desktop and command line.
Dedicated resources mean clear ownership, not zero contention between tasks. Compiling, running simulators, and doing inference on the same machine still draw on the same memory. Choose a configuration to match your workload, then manage concurrency for more predictable results.
A remote machine can't connect to a USB device sitting next to you. If you need to connect a physical device, check the connection path first. Manage signing certificates and provisioning profiles according to your project's access requirements.
Pick a plan for your workload on a dedicated Mac mini. First, identify whether memory, storage, or task concurrency is your bottleneck.
Rent for a day before release, run your build and regression tests, then stop. No need to buy another machine for a short sprint. Sync your project and test scripts first, and confirm how you'll connect a physical device.
Recommended planHold 16
Register a self-hosted GitHub Actions or GitLab Runner so builds run on your machine. Set permissions by repository, validate with serial jobs first, then gradually increase test concurrency.
Recommended planHold 24
Team members in different regions can take turns using the same Mac mini with separate accounts. Schedule access to the desktop and keep shared projects separate from personal credentials. If everyone needs to work interactively at the same time, consider splitting the workload across multiple machines.
Recommended planHold 24
Experiment with MLX inference using 64GB of unified memory. Whether a model fits also depends on quantization, context length, and runtime cache. Test with your actual model first, then commit to a longer rental if it works for you.
Recommended planHold Pro 64
Singapore, Tokyo, Seoul, Hong Kong, and the US East Coast. Place your machine close to the users it serves.
A good fit for teams and users across Southeast Asia, with working hours that align locally.
For teams and users across East Asia, with convenient collaboration for local development and testing.
For teams and users across Northeast Asia, with regression testing that fits a shared time zone.
For South China and Southeast Asia, with responsive development during Asia-Pacific working hours.
For users across eastern North America and Western Europe. The time zone shifts with local daylight saving time.
Latency ranges are a guide for choosing a location, not a guarantee from every network. For interactive development, consider the route between you and the machine. For automated builds, also account for how code, dependencies, and artifacts are transferred. Availability is confirmed in real time in the console.
Choose a plan and location. After payment, the system assigns and initializes a physical machine, then delivers your connection details in the console.
These are typical step durations, not a countdown. Payment confirmation, initialization, and your network can affect delivery time. Check your order status in the console.
Pick from 3 configurations and 5 locations. Choose where your Mac will be, then check the rental term, additional storage, and order total to make sure the machine has room for your workload.
Pay with USDT-TRC20, or with Visa / Mastercard / Amex via Stripe. All charges are in USD. Available payment gateways are confirmed by the backend; check the network and recipient details before transferring.
A Mac mini is reserved for your order and initialized with macOS. Closing the payment page does not cancel your order; check its status in the console for updates.
Your remote desktop and SSH details appear in the console. Change the initial password on first login, check the system and toolchain versions, then clone your code. Never share connection credentials in a public repository.
99.9%
Your machine needs to be online for delivery to be complete. All locations run year-round, 365 days a year, so work can continue across time zones.
If monthly uptime falls below 99.9%, service time is extended based on the duration of unavailability.
If you have connection issues, first check whether the cause is your local network, system configuration, or the location. Include your machine ID, the time, and the error details in your support ticket. See the Terms of Service for the commitment and compensation rules.
Longer terms mean a lower effective daily rate. Rent by the day for a short sprint or by the quarter for a longer project. Watch for reminders before your term ends; whether to renew is up to you. Before you stop renting, back up your code, certificates, and any artifacts you need to keep.
If you run low on storage, clear rebuildable caches first, then consider an SSD add-on. Thunderbolt 5 daisy-chaining is billed per machine. Multi-machine workflows also require application support; memory from separate machines does not combine automatically.
| Term | Price | Effective daily rate |
|---|---|---|
| Day | $21 | $21.00 |
| Week | $56.8 | Works out to $8.11 |
| Month | $105.2 | Works out to $3.51 |
| Quarter | $286.1 | Works out to $3.18 |
Effective daily rates are for comparison: weekly price ÷ 7, monthly price ÷ 30, and quarterly price ÷ 90, rounded to two decimal places. Orders are charged at the price for the selected term, not at the effective daily rate.
| Add-on | Daily | Monthly |
|---|---|---|
| +1TB SSD | $2.2 | $10.9 |
| +2TB SSD | $4.4 | $21.8 |
| Thunderbolt 5 daisy-chaining (per machine) | $1.5 | $7.6 |
Add-on prices only; machine rental is not included. Check the plans page and order configuration for weekly and quarterly prices and available options.
These example scenarios can help you decide whether renting makes sense for your current workload.
“Rent for a day before an overnight release, run regression tests, then stop. Easier than buying a new machine.”
“Keep the runner on a fixed machine so the toolchain and caches are ready to go.”
“Test the model with 64GB of memory, take the results with you, then end the rental when the experiment is done.”
Check who owns the resources, how you'll connect, and how to retrieve your data. For more on connections, signing, and migration, visit the Support Center.
Not sure which plan to choose? Share your project size, simulator count, or model requirements. That makes it easier to give practical advice than asking which machine is “fastest.”
Practical guidance on migration, signing, and build workflows. Check your toolchain and permissions, then hand the work to your machine.
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Choose a plan and location, then connect to your machine in about 4 minutes. From $21/day, billed in USD. Keep your toolchain remote and your development workflow in your hands.
Choose a workload, rental term, and location, then configure your order. Already have an order? Find your connection details or submit a support ticket in the console.