Verify the repository, package manager, cache strategy, and environment versions.
Choose by workflow, not by labels
Put your development workflow on a cloud Mac—start with the fit
OakVPS provides dedicated physical cloud Macs running Apple Silicon—not virtual machines. Instead of showing unverifiable customer figures, this guide breaks down iOS releases, continuous builds, remote development, and MLX experiments into checkable inputs, resources, and delivery steps.
All three tiers can be activated by the day, week, month, or quarter; actual availability is shown in real time in the console.
TASK FIT SCALE
Task scale: input to delivery
Physical node
Choose a configuration based on concurrent tasks, unified memory, and model size.
Define archive locations, download methods, and cleanup boundaries in advance.
Three primary user types
Identify the task first, then choose the machine
The same cloud Mac can handle many tasks, but configuration decisions should start with peak memory, storage usage, build duration, and delivery method.
iOS / macOS
App development & releases
Ideal for developers who need Xcode, command-line tools, dependency installation, signing checks, and release artifact archiving. Pinning environment versions and build commands reduces rework caused by device differences.
- Code checkout and dependency restoration
- Export Xcode build and test logs
- Pre-release checks and artifact archiving
CI/CD
Continuous builds & temporary scaling
Ideal for teams with an existing pipeline that need extra Apple Silicon build capacity during a project push or release. Match the rental term to the project cycle, export artifacts centrally, then end the task.
- Create a separate working directory for each branch or version
- Pin Xcode and dependency versions
- Collect build results and failure logs in one place
MLX
Apple Silicon experiments
Ideal for MLX users evaluating unified memory, model file capacity, and experiment reproducibility. When choosing a configuration, estimate the combined size of the model, cache, runtime, and result files first.
- Isolate Python and MLX environments
- Record model sources and parameters
- Export logs, metrics, and result files
iOS release workflow
From repository to handoff-ready artifact, every step has a defined input
The key to a release task is not squeezing every operation into one command, but making the code, dependencies, build environment, signing materials, and output directory independently verifiable.
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01
Checkout code
Network & repository accessConfirm that the target branch, submodules, Git LFS files, and repository credentials are all readable. Record the commit identifier before the first run so the source version can be traced during handoff.
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02
Install dependencies
Disk & cacheRestore dependencies with the package manager used by the project, and record cache and project directories separately. Verify the lockfile against the source; do not mask build issues with an ad hoc upgrade.
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03
Xcode build
Memory & durationPin Xcode, the SDK, scheme, and destination before starting the build. Reserve additional memory for parallel compilation or large workspaces, and keep monitoring available disk space.
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04
Signing checks
Certificates & permission boundariesImport signing certificates and provisioning profiles only when required. Never store passwords in scripts or repositories. Verify that the bundle, entitlements, and target configuration match.
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05
App Store preparation
Archiving & handoffKeep the archive, export logs, verification results, and corresponding commit identifier. After App Store preparation is complete, download the artifacts to the team’s agreed location and remove temporary sensitive materials.
CI/CD team workflow
Keep scaling within one recoverable project cycle
When temporarily expanding Apple Silicon build capacity, define the task entry and result exit points first, then choose a daily, weekly, monthly, or quarterly term.
Scaling input checklist
- Trigger scope
- Branches, tags, or release tasks
- Environment baseline
- macOS, Xcode, command-line tools, and dependency lockfiles
- Resource limits
- Concurrent tasks, peak memory, cache, and artifact capacity
- Completion criteria
- Artifact export, log archiving, temporary credential revocation, and working-directory cleanup
INPUT
Repository & task definition
Establish the entry point with a pinned commit, build command, and dependency lockfile.
RUN
Dedicated physical machine build
Activate the node for the project cycle and continuously record commands, exit codes, and resource usage.
HANDOFF
Centralized export & cleanup
Hand off artifacts, checksums, and redacted logs in one place, then clean up the environment.
If the pipeline depends on local USB devices, services accessible only through an office intranet, or internal resources that cannot be provided through a secure channel, split the task boundary first instead of migrating the entire workflow.
Remote development workflow
Use SSH for engineering work; reserve graphical sessions for essential steps
Design editing, command execution, log viewing, and artifact transfer separately. A remote Mac development environment becomes easier to reproduce and clean up when the task ends.
Connect to the Mac over SSH
On the first connection, verify the host fingerprint, username, and port, and restrict private-key file permissions. If connection details change, do not skip fingerprint verification.
Remote editing & builds
Separate the editor session from long-running builds, and write build output to a fixed log file. If the network fluctuates, the task state can still be checked through the log.
Graphical interface operations
Use a graphical session only when you need the Xcode interface or a remote macOS desktop. Save your work, end the session, and confirm that sensitive windows are closed before leaving.
Artifact handoff
Save archives, logs, and checksums in the agreed directory and download them through a controlled method. After handoff, remove temporary credentials and project copies according to team policy.
MLX experiment workflow
Start configuration selection with model files and a unified memory budget
Do not assume an inference speed in advance. Record the model, precision, batch size, cache, and runtime environment, then validate resource sufficiency with a small reproducible experiment.
Model files & storage
Measure the total size of model weights, tokenizer, datasets, conversion files, cache, and result files. If the project retains multiple versions, include version growth in the storage budget.
- Base storage options: 256GB, 512GB, or 2TB
- Optional additional storage: +1TB SSD or +2TB SSD
- Export required results and logs before ending the experiment
Unified memory assessment
Do not look only at the model file size. Runtime memory is also used by the framework, cache, intermediate results, and other processes; batch size and context settings can change the peak.
- M4 / 16GB / 256GB: Oak M4
- M4 / 24GB / 512GB: Oak M4 Plus
- M4 Pro / 64GB / 2TB: Oak M4 Pro
Reproducible experiment records
Save the environment version, dependency list, model source, parameters, random settings, commands, log location, and output verification details for every experiment.
- Isolate dependencies in a separate environment
- Record failure conditions, not just successful results
- Manage large-file paths separately from code versions
Configuration examples
Three task intensities, matched to three available configurations
Use the mappings below to narrow the selection; they do not represent fixed performance results. Large dependencies, parallel builds, model size, and retained file count all affect actual resource needs.
Oak M4
Ideal for single-project editing, dependency validation, light Xcode builds, script automation, and short-lived environment reproduction.
- Chip
- M4
- Memory
- 16GB
- Storage
- 256GB
- Key consideration
- Whether dependencies and artifacts fit within the base storage
Oak M4 Plus
Ideal for application projects with many dependencies, continuous builds, longer log retention, and team tasks requiring more memory headroom.
- Chip
- M4
- Memory
- 24GB
- Storage
- 512GB
- Key consideration
- Whether parallel compilation and caching need additional headroom
Oak M4 Pro
Ideal for high-memory MLX experiments, large workspaces, more concurrent steps, and tasks requiring substantial local data storage.
- Chip
- M4 Pro
- Memory
- 64GB
- Storage
- 2TB
- Key consideration
- Peak usage from models, cache, and intermediate results
Five-location deployment view
Choose a location based on team, dependency, and delivery locations
All three machine tiers are available in Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, and the US West. Every listed combination runs normally 365 days a year; availability is shown in real time in the console.
Singapore
Ideal for projects whose teams or dependencies are mainly in Southeast Asia. Check the repository, package sources, and artifact destination together.
AvailableJapan (Tokyo)
Ideal for workflows whose main collaborators, test services, or delivery targets are in Japan or nearby regions.
AvailableSouth Korea (Seoul)
Ideal for builds, automation, and remote development tasks that rely on services in South Korea or are operated centrally by a local team.
AvailableHong Kong
Ideal as a shared task node for distributed Asian teams. Test connectivity from the actual office network before choosing.
AvailableUS West
Ideal for projects whose teams, code services, or artifact delivery workflows are primarily in the North American West Coast time zone.
AvailableLocation selection is not just about geographic distance. The repository, dependency sources, artifact storage, team office network, and final delivery location can all affect the complete workflow; validate the real network path.
Results log template
Review every rental task with the same set of fields
Recording task facts is more useful than recording vague impressions. Copy the fields below directly into a team ticket, project document, or handoff record.
| Field | What to record | Review purpose |
|---|---|---|
| Goal | Describe the build, release, automation, remote development, or MLX experiment task, along with its completion criteria. | Avoid mistaking environment setup for the final result. |
| Configuration | Record Oak M4, Oak M4 Plus, or Oak M4 Pro, along with any additional storage actually used. | Verify that memory, storage, and task intensity match. |
| Term | Record the daily, weekly, monthly, or quarterly choice, along with the expected start and end range. | Compare the task duration with the billing period. |
| Location | Record the selected location: Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, or US West. | Relate the team location, dependency location, and connection path. |
| Environment version | Record macOS, Xcode, command-line tools, dependency manager, MLX, and key library versions. | Make it possible to reproduce the same environment in later tasks. |
| Artifact location | Record the team storage location for archives, logs, checksums, experiment results, and downloaded files. | Confirm handoff is complete before the task ends. |
| Review conclusion | Record whether resources were sufficient, failure conditions, improvements to retain, and configuration changes for next time. | Provide verifiable input for the next configuration choice. |
Good candidates for cloud Mac migration
Task inputs can be provided through a repository or controlled files, the environment can be scripted or documented, artifacts can be exported centrally, and the workflow does not depend on a continuously connected local device.
Split before migrating
If the workflow depends on an office intranet, low-latency local peripherals, undocumented manual steps, or sensitive materials that cannot be transferred securely, first separate the independently executable build and experiment components.
Ready to create your first task record
Choose a configuration, location, and term, then validate with a real workload
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