About GNUMac Cloud Mac

From maintaining build machines
to putting a whole Mac in your hands.

We’re a team of engineers who have spent years maintaining iOS build systems and CI. GNUMac Cloud Mac began with a simple need: a Mac you could rent by the day, with resources reserved for you, was surprisingly hard to find.

Dedicated physical Mac minis, not virtual machines. Choose from two configurations, four Asia-Pacific locations, and daily, weekly, monthly, or quarterly terms.

Why we built this service

A version regression, an overnight Archive, or a new runner configuration doesn’t always justify buying another machine. We take care of purchasing, hosting, and remote access so you can focus on engineering.

That’s why we don’t divide a Mac into shared instances. You rent a complete physical machine, with access to both the macOS GUI and command line, and can organize tools, caches, and jobs around your project. Exclusive use gives you clear ownership of the machine’s resources; build speed still depends on your project, dependencies, and concurrency.

Our principles

Three things, clearly spelled out.

We make resource allocation, pricing, and data handoff easy to understand. Know what to expect before ordering, verify details while you work, and follow a clear process when your rental ends.

One whole machine, not a shared VM

The CPU, memory, and storage are yours to use for the duration of your rental—not shared with other tenants on the same machine. Schedule single-project builds, multiple simulator jobs, or model inference on your terms.

Exclusive use doesn’t mean unlimited resources. Choose between M4 / 16GB / 256GB and M4 / 24GB / 512GB. Before running jobs in parallel, account for peak memory use and available disk space.

Transparent pricing, four clear terms

GNU Core M4 costs $21.3/day, $57.5/week, $106.4/month, or $289.4/quarter. Prices are the same at every location, with no need to email us to find out the base rate.

Storage upgrades and Thunderbolt 5 daisy-chaining are priced separately. Compare configurations, rental terms, and add-ons; a prorated rate for one term isn’t the same as the daily price.

Returned machines are wiped, not handed off with your data

After return, the disk is erased and macOS is reinstalled; any add-on SSD is handled the same way. The machine is reset before it’s assigned again, so your project files aren’t left for the next user.

A reset isn’t a backup service. Before your rental ends, retrieve any projects, build artifacts, keys, and logs you want to keep, then confirm the return.

Fit a Mac into your workflow

Four kinds of work, more than just a login.

We focus on the whole journey, from placing an order to handing off the finished work. Here’s how to get started for common tasks—and what to take with you when you’re done.

Indie developers: separate builds from daily coding

Start with GNU Core M4 and choose a location and rental term that work for you. Once you receive your credentials, check project dependencies via screen sharing, then run an Xcode Archive over SSH or with a build script.

Set up signing assets with the right team permissions and verify your Xcode and SDK versions. When the build is done, export the app package, symbol files, and build logs. Run overnight jobs on the cloud Mac while your local machine stays free for interactive development.

What you take away:Deliverable build artifacts and build steps you can run again.

CI teams: add a dedicated runner for a busy release cycle

Choose a configuration for your project’s workload, validate the environment with a full pipeline run, then register the Mac as a self-hosted runner. Split code checkout, dependency installation, testing, signing, and archiving into stages you can troubleshoot independently.

For multiple machines, name them by location, project, and purpose so a test machine isn’t mistaken for a release machine. Before your rental ends, unregister the runner, revoke access tokens, and document your build-cache and artifact retention policies.

What you take away:Reusable pipeline configuration, test results, and archive records.

AI experiments: test the workload before committing long term

For memory-intensive work, choose GNU Studio M4: M4 / 24GB / 512GB. Set up the environment for MLX or llama.cpp, and first check model file size, quantization, and runtime memory use.

Record results using the same prompts, context length, and parameters; don’t compare runtimes from different conditions. For larger models and datasets, choose an optional +1TB SSD or +2TB SSD, and export your results before the rental ends.

What you take away:Environment versions, experiment parameters, and reproducible inference records.

Media workflows: keep batch jobs remote

Estimate the total space needed for source media, proxies, caches, and exports before deciding whether the base disk is enough. Upload media over SFTP, confirm the required software and licensing, then set up transcoding or batch exports.

Use screen sharing to check visuals and job status, and file transfer to hand off deliverables. Verify encoding settings with a short clip before processing the full batch. When the job is done, transfer the finished media and project files back; don’t rely on the remote disk as your only archive.

What you take away:Finished media checked for format and completeness, plus editable project files for future work.

Making the trade-offs clear

Why rent instead of asking everyone to buy a machine?

Renting works well for time-limited projects, remote teams, and isolated build environments. Buying may make more sense for consistently high utilization or work that depends on local peripherals.

Compare costs, delivery, resource exclusivity, and upgrade flexibility—these are different kinds of services, not interchangeable resources.
Comparison Rent from GNUMac Cloud Mac Buy hardware Shared VM
Cost GNU Core M4 rentals start at $21.3/day; the total depends on your chosen term and add-ons. Pay upfront for the machine, then cover hosting, networking, power, and depreciation. The entry price may be lower; check resource limits and sharing policies.
Getting started Choose your configuration and pay in the portal; credentials are delivered remotely. Check machine status in the portal. Buy the machine, set up the network, and configure remote access yourself. Timing depends on procurement and local conditions. Usually provisioned as an instance; the OS, architecture, and tool permissions depend on the provider’s policies.
Resource exclusivity Exclusive use of a complete physical Mac mini, not a shared VM. Exclusive use of the whole machine; you manage on-site and remote access. Host resources are shared with other instances; check how isolation works.
Upgrade flexibility Changing configurations requires a migration plan. Optional SSDs are available, but they don’t provide an in-place memory upgrade. If you outgrow the hardware, you may need to buy another machine. Quota changes depend on host capacity and the provider’s service catalog.
Best suited to Short-term regressions, dedicated CI, time-limited experiments, and remote builds. Sustained high utilization, local peripherals, and a permanent workstation. Workloads that allow shared resources and fit the OS and permission limits.

We make ownership of the whole machine clear and offer flexible rental terms, rather than lowering the listed price of each instance through resource sharing. Before ordering, check your toolchain, data volume, and peripheral requirements, then compare the total cost.

From the user’s perspective

When the machine fades into the background, work comes first.

Two common needs we hear from users: a build environment that doesn’t interrupt local development, and a remote workspace that’s easy to understand and hand off.

“I want to move builds off the machine I use for daily coding. Once the project environment is fixed, I can hand jobs to a dedicated machine—and when something fails, there’s a clear log to investigate.”

Lead game client engineer · Focused on build environments and troubleshooting

“I need a remote Mac where I can pick up and keep working: a consistent place for source assets, exports, and everything I need to take away at the end—without having to organize it all from scratch each time.”

Remote designer · Focused on asset organization and handoff
Locations and operations

Four Asia-Pacific locations, positioned around how teams work.

Singapore, Tokyo, Seoul, and Hong Kong support different team workflows. Pricing is the same at all four locations. Choose based on where people will connect from and how the connection performs—not just the city name.

Singapore

For day-to-day development and CI collaboration across Southeast Asia. Validate the full workflow in one run, from checking out code and downloading dependencies to returning build artifacts.

Location code SG

Japan (Tokyo)

A good fit for projects in Japan and collaboration with nearby regions. If you’ll use the GUI frequently, check screen-sharing responsiveness before choosing it for daily interactive development.

Location code JP

South Korea (Seoul)

For collaboration on Korean-market and game projects. Run dedicated builds, tests, or validation jobs; the machine’s location doesn’t change app distribution or testing permissions.

Location code KR

Hong Kong

For teams across the region working with shared remote workflows. If you need to transfer large media files, test upload and download speeds first, then estimate end-to-end delivery time for batch jobs.

Location code HK

Clarify the environment before handoff

Each machine is reinstalled and initialized before delivery; connection credentials are provided through the portal. After your first login, check the model, disk, OS version, and remote access method, then change the password and add your own SSH public key.

When something goes wrong, use records—not guesswork

All locations operate 365 days a year. If something goes wrong, submit a support ticket in the portal with the instance, time of incident, connection method, and error details. Troubleshoot local network, toolchain, and location issues separately.

Backups and erasure are separate responsibilities

Export your projects and artifacts, and revoke runner tokens and any keys you no longer use. After return, we erase the disk and reinstall the system, including any add-on SSD. Renewing your rental doesn’t replace your own backup plan.

Start with a specific task.

Choose a configuration, location, and rental term, then run your first task. To discuss team rentals, quarterly billing, or toolchain compatibility, email support@gnumac.com; if you already have an order, log in to the portal to submit a support ticket.

Payments are charged in USD. We accept USDT-TRC20 and Visa, Mastercard, or Amex through Stripe. Available payment options are confirmed at checkout.