For the person who owns the pipeline—and the machine

We moved the build machine from the office to a data center

After merging code, you should be checking build results—not wondering whether the office lost power. OSXPort hosts dedicated physical Mac minis for CI teams, keeping power, networking, and cooling at the data center so your team can focus on engineering and release schedules.

From $19.7/day, billed in USD. Test your own pipeline first, then decide whether to move it long term.

Team build schedule One physical server, scheduled your way

Share the server across your branches without competing with other customers for its resources.

Branch Build order example
main
Merge checks
release/2.4
Package and archive
nightly
Nightly tests
Online 365 days a year The data center handles power, networking, and cooling; your team controls concurrency and job order.
This illustrates scheduling only; it is not a build-time benchmark or a record of historical uptime monitoring. The entire Mac mini is assigned to one customer; it is not a virtual machine.
Clear responsibilities matter more than buying another machine

The data center handles the hardware; your team stays in control of releases

Office self-hosting, shared runners, and dedicated hosting can all run builds. The difference is who keeps the machine available and whether you need an environment that stays up long term. We’re a fit for teams merging several times a day that want less hardware to look after—not for every packaging workload.

What the data center handles

Power, network connectivity, and cooling are part of the hosting environment. Servers run online 365 days a year; overnight jobs no longer depend on the office power switch or air-conditioning habits.

This means fewer non-code tasks for the person responsible, but it doesn’t guarantee every build will succeed. Dependency downloads, test results, and project configuration still need to be troubleshot separately.

What your team handles

Your team configures and manages the code, runner registration, toolchain versions, signing assets, concurrency limits, and build artifacts. The macOS GUI and command line are fully available, so existing workflows can be connected as usual.

Back up signing certificates, project configuration, and critical artifacts yourself. Caches can speed up repeat builds, but they’re no substitute for restorable project files and credential backups.

What we handle together when something goes wrong

If a server has connection issues, first determine whether the cause is the network, the system, or the job itself. If you suspect a hardware fault, submit the server ID, time, and details in a support ticket through the console to start troubleshooting and server replacement.

After a replacement, verify the runner, toolchain, and signing configuration again. Documenting recovery steps in advance is more reliable than assuming a machine will never fail.

Dedicated resources don’t mean unlimited concurrency

Keep your own environment—and know the limits of a single server

A dedicated physical server makes resource ownership and environment changes easier to understand. It removes competition for resources from other customers on the same machine, but not fluctuations caused by project size, job volume, or dependency services.

The entire server is yours

The CPU, unified memory, and SSD serve your workloads alone. Your team manages DerivedData, dependencies, and project caches; another customer’s builds won’t clear them.

When build times change, investigate project updates, cache hits, test scope, and local concurrency instead of guessing whether an unfamiliar job is using the machine.

Your team still needs to plan the queue

Multiple branches from the same team can still compete for one server. Starting every job at once won’t create more compute capacity; set runner concurrency based on memory use and release priorities.

A single server is less elastic than an on-demand shared setup. Shared runners may suit occasional builds or brief, unpredictable peaks; if you already have an idle Mac and build only once or twice a month, self-hosting may cost less.

Our advice: move one pipeline first; you don’t need to migrate the whole team at once.

Use the same code to compare checkout, dependency setup, compilation, testing, and upload. Then identify whether the bottleneck is compute, networking, or job design. Dedicated hosting clarifies resource ownership; it doesn’t solve every build problem.

Match the plan to the workload

Three plans, each with clear specs to guide your choice

Apple Silicon M4 suits lightweight packaging and everyday development; M4 Pro offers another option for larger projects and higher memory needs. We list the chip, unified memory, and SSD capacity rather than relying on vague tier names, and make no claim that one plan will speed up every project by the same amount.

Port M4 Base

Apple Silicon M4 · 16GB unified memory · 256GB SSD

For a single app, a few builds a day, or an initial test of remote builds. Not recommended for running multiple simulators and many parallel compilation jobs at once.

$19.7/day · $98.5/month

$53.2/week · $267.9/quarter

Rent Port M4 Base

Port M4 Plus

Apple Silicon M4 · 24GB unified memory · 512GB SSD

For daily merge builds, multiple branch jobs, and simulator testing. Set concurrency based on your project’s actual peak memory use—not simply to the maximum number of jobs.

$40.3/day · $201.6/month

$108.9/week · $548.4/quarter

Rent Port M4 Plus

Port M4 Pro

Apple Silicon M4 Pro · 64GB unified memory · 2TB SSD

For large projects with multiple targets, memory-intensive jobs, and local model inference experiments. If your workload depends on multi-GPU training, a Mac mini isn’t a substitute for the appropriate hardware.

$61.4/day · $307.1/month

$165.8/week · $835.3/quarter

Rent Port M4 Pro

Prices shown are for the server only and billed in USD. Storage upgrades and other add-ons are charged separately; confirm the full configuration and final price at checkout.

Include network routes in your decision

Five regions: start with your repositories and dependencies

Singapore, Tokyo, Seoul, Hong Kong, and the US West Coast serve teams across Asia-Pacific and the western US. All three server plans are available in all five regions; check the console for real-time availability. Choose a region based not only on the distance from your team to the server, but also on the full path for code checkout, dependency downloads, and artifact uploads.

Singapore

A good first region to evaluate for Southeast Asian teams. Test with your code repository and commonly used dependency sources to see whether setup time is a major part of the build.

Choose a Singapore server

Tokyo, Japan

An option for teams in Japan and across East Asia. If you need frequent remote access, test both the interactive experience and upload routes.

Choose a Tokyo server

Seoul, South Korea

Worth comparing for teams in Northeast Asia. Test with the same commit and dependency versions so cache differences aren’t mistaken for regional performance differences.

Choose a Seoul server

Hong Kong

A region to consider for teams in South China and Southeast Asia. Cross-network routes can vary by carrier, so base your decision on a test with your own project.

Choose a Hong Kong server

US West Coast

A good region to evaluate for repositories, dependency sources, and team connections on the US West Coast. For distributed teams, choose based on where most pipeline data flows.

Choose a US West Coast server

These are guidelines for choosing a region, not city-by-city latency measurements. For cross-region teams, record checkout and upload times before moving a server; don’t use location names as a substitute for testing.

Our principles, in writing and in every customer conversation

Three principles guide how we describe our service

CI leads need information they can use to make decisions. We clearly separate the product catalog, suitability limits, and payment terms so there are no surprises after signup.

  1. 01

    Full specs and clear pricing

    We list the chip, unified memory, SSD, and all four billing periods separately. Base server prices and add-ons are clearly distinguished; monthly prices aren’t presented as daily starting rates, and specific configurations aren’t hidden behind labels like “high-spec.” Check the resources first, then the total cost for your intended term.

  2. 02

    We’ll say when it’s not a fit

    If you have an idle Mac and build infrequently, self-hosting may cost less. Shared runners may be more flexible for brief, variable peaks. Workflows that depend on debugging on a local device shouldn’t rely solely on a remote server. Dedicated hosting suits ongoing use; it doesn’t need to replace every development setup.

  3. 03

    Transparent USD billing

    We accept USDT-TRC20 and Visa / Mastercard / Amex (via Stripe) only. Available payment gateways depend on the response from our backend. Before ordering, confirm the server, region, term, and add-ons. Contact support through a console ticket for payment or billing issues, or email support@osxport.com with pre-sales questions.

Run a complete build before deciding to move

Start by running checkout, dependency setup, compilation, testing, and archiving. Record build times and peak memory, then choose a plan, concurrency level, and term. Day trials start at $19.7/day, so you don’t have to commit to a long-term environment upfront.

If you already have an idle machine and package only once or twice a month, we recommend calculating your self-hosting costs first.