A dedicated Mac for your macOS workload

Close your laptop,
and your Mac work keeps running.

If your main computer runs Windows or Linux, you don’t need to buy a Mac just for occasional macOS software. Choose our single dedicated Mac mini M4 configuration, estimate how long your workload needs to stay online, then pick a rental term.

Mac mini M4 dedicated node illustration A compact desktop computer viewed straight on, with model and dedicated-machine details. Product illustration only; this is not a live monitoring view.
Mac mini M4 · Product illustrationAn entire physical machine for one customer

A good fit for overnight builds, remote development, and workloads that need to keep running. If you need offline editing every day or to connect local pro gear, buying a Mac may suit you better.

One available configuration

Remote M4

Mac mini M4 · 16GB unified memory · 256GB SSD

Choose a billing term

Base rental price for the selected term

$19.8/day

Ideal for a one-off build and connection test; shorter terms cost more per day.

Base rental prices only; add-ons are extra. Switch terms here to compare prices. Confirm the actual billing term and availability in the checkout configuration.

Check the machine, then check the bill

Same machine specs, whatever the rental term.

Daily and long-term rentals use the same hardware. A short rental doesn’t mean a shared desktop: you get a dedicated physical node, not a VM carved out of a host.

Remote M4 hardware specs

Each order is for one dedicated node. Run your own builds, tools, and files without sharing the machine’s CPU, unified memory, or SSD with other customers.

Chip
Apple M4
Unified memory
16GB
Base storage
256GB SSD
Network
Public internet connection on a dedicated node
Machine type
Dedicated physical machine (not a VM)
Interface
Full macOS graphical desktop and command line

A dedicated machine is priced as a whole: even if you only run one lightweight tool, you’re renting the entire node. If you’re unsure how often you’ll use it, test with a short term before committing to a longer one.

Get your project storage needs straight

More storage doesn’t mean more memory.

The base SSD has 256GB. Repositories, build caches, media, and model weights all use disk space. An SSD add-on gives you more storage; it doesn’t change the 16GB unified memory or automatically boost compute performance.

+1TB SSD

For development projects with growing repositories, dependencies, and build caches. Estimate your current files and expected growth before deciding if you need more space.

Daily
$2/day
Weekly
$5.5/week
Monthly
$10.1/month
Quarterly
$27.5/quarter
Adds storage, not unified memory.

+2TB SSD

For larger media libraries, multiple projects, or model weights. Having enough disk space doesn’t guarantee a model will fit in unified memory when it runs.

Daily
$4/day
Weekly
$11/week
Monthly
$20.2/month
Quarterly
$55/quarter
Large-file workflows still need upload and backup planning.

Thunderbolt 5 interconnect

Consider this if you need multiple nodes to work together. It’s a separately billed add-on, not a way to automatically combine the unified memory of several machines.

Per machine, daily
$1.9/day
Per machine, weekly
$5/week
Per machine, monthly
$9.3/month
Per machine, quarterly
$25.3/quarter
Charged per machine; confirm configuration requirements at checkout.
Base rental and add-ons are priced separately. Add-on prices don’t include the base node.
ChargeDailyWeeklyMonthlyQuarterly
Remote M4 base rental$19.8/day$53.4/week$98.9/month$269/quarter
+1TB SSD$2/day$5.5/week$10.1/month$27.5/quarter
+2TB SSD$4/day$11/week$20.2/month$55/quarter
Thunderbolt 5 interconnect, per machine$1.9/day$5/week$9.3/month$25.3/quarter
Same hardware in four locations

Choose a location for proximity, not a different configuration.

Remote M4 is available in Singapore, Tokyo, Seoul, and Hong Kong. For an interactive desktop, consider a location nearby with a suitable network route. If your workload serves users in a particular region, factor in their location too.

Models and locations offered; not a live availability status
ModelSingapore · SGTokyo · JPSeoul · KRHong Kong · HK
Mac mini M4
16GB unified memory / 256GB SSD
AvailableAvailableAvailableAvailable

Data can’t be moved between regions after provisioning. Before choosing a location, consider where you’ll upload code, media, and build outputs from, and who needs them. Check the console for live availability.

Match the rental term to the workload

A one-time test and your daily work call for different plans.

Short terms mean less long-term commitment, but a higher daily rate. Longer terms suit established workloads—not first-time connection and software testing.

Handle one task, then move on

Packaging a single app, reproducing a Safari issue, or trying macOS from Windows? Start with a daily rental. Test the network, software versions, and artifact export process together.

Daily · $19.8/day

Finish a project phase

For short-term testing or a few consecutive days of archiving and fixes, a weekly plan can keep the work within one billing period. Prepare your code and dependencies first, so you don’t spend most of the rental uploading files and setting up the environment.

Weekly · $53.4/week

Make the node your regular workstation

Consider a monthly or quarterly plan for daily development or overnight builds. Longer terms reduce the hassle of arranging rentals often, but you’ll still need to manage backups, software environments, and retries for failed tasks.

Monthly · $98.9/month · Quarterly · $269/quarter

Nodes run 24/7, 365 days a year, with a 99.9% uptime commitment. That doesn’t guarantee every build or rendering task will succeed. Software errors, resource limits, and local connection issues still need to be diagnosed separately.

Find the bottleneck before adding options

Does your workload need more storage or more memory?

There’s one base configuration: Mac mini M4 · 16GB unified memory · 256GB SSD. Rather than choosing among tiers, check whether this machine’s limits fit your workload.

Validate against your actual projects and models. More storage is not a compute upgrade.
What are you working on?Where should you start?What limits should you check?
Light builds
Package a single app, debug in Safari
The base configuration is a good place to start. Run one complete workflow from source code to build artifact.Check dependencies, software versions, and the disk space your project needs—not just the size of its source directory.
Everyday development
Xcode open all day, multiple simulators
Start with the base configuration. Add +1TB SSD if you need space for dependencies, caches, and build artifacts.Multiple simulators and development tools still share 16GB of unified memory. More disk space won’t relieve memory pressure.
LLM inference
Open-source models and small-scale testing
Start with the base configuration and add +2TB SSD for model weights. Test your target model at a small scale first.The 16GB unified memory limits model size. Account for runtime overhead and context usage too; the weight file size alone isn’t enough to judge fit.

You can upload media and export audio or video on the node, but upload times and remote previews can affect your workflow. If you need real-time, low-latency monitoring or direct connections to pro gear, don’t choose a remote setup based on hardware specs alone.

One last check before you pay

Charged in US dollars; confirm your rental term at checkout.

Pay with USDT-TRC20 or Visa, Mastercard, or Amex through Stripe. Available payment gateways depend on the backend response. Before paying, verify the model, location, billing term, and add-ons.

Pay with USDT-TRC20

Make sure the network you use matches the order requirements, then follow the payment details shown on the payment page. A payment screenshot alone doesn’t confirm your order; check the order status in the console.

Keep your order number for future reconciliation.

Pay by card

Visa, Mastercard, and Amex payments are processed by Stripe, with orders charged in US dollars. If a payment doesn’t complete, check the page message and order status. Don’t submit the same payment again while the result is unclear.

Double-check your billing term and add-ons before paying.

Check the service terms and console for renewal, expiry, and data release rules. Don’t rely on the node as your only backup. Export your code, media, keys, and build artifacts before your rental ends.

Questions to sort out before renting

Don’t leave these three things until your rental is about to end.

Storage changes, data exports, and multi-node setups can all affect how you work. Clarify what you need before checkout to avoid changing your workflow halfway through.

Can I add storage during my rental?

Choose +1TB SSD or +2TB SSD at checkout. To request a storage change on a provisioned node, sign in to the console and submit a support ticket with your instance ID, current storage usage, and target capacity. Confirm the available approach and price before scheduling the change; it isn’t described here as instant. Back up important files first.

Is my data automatically released when my rental ends?

Nodes and data are handled according to the service terms and the expiry rules shown in the console. Don’t treat an expired node as long-term file storage. Renew or export your data before the rental ends; don’t assume you’ll still be able to log in and retrieve files afterward. If you have questions about timing, confirm them through a console support ticket before expiry.

Can I rent multiple Mac minis at once?

You can order multiple dedicated nodes. Each one is a separate physical machine, with its own location, billing term, and add-ons to check. Multiple nodes don’t automatically combine into a single machine with more memory; you’ll need to configure CI task distribution, code syncing, and artifact collection yourself. For ongoing team use of multiple nodes, submit a console support ticket with the number of machines and your workflow.

Get your project running on a Mac.

Start with a connection, a build, and an artifact export. See if remote work suits you before deciding whether to keep this workstation long term.