Start with the workload

Choose a Cloud Mac configuration by workload

From Xcode builds and automated testing to MLX inference and remote production, confirm memory, concurrency, storage, and network needs before choosing from three dedicated Apple Silicon physical nodes. All are non-virtualized, with standard delivery in about 4 minutes.

Starting at $19.5/day, available by day, week, month, or quarter. Real-time availability is shown in the console.

WORKLOAD ROUTER Submit workload → choose configuration → physical node
Three options
XCODE
Light builds and debuggingSingle queue, dependency cache, artifact transfer
M4 Core
RUNNER
Continuous integration and automated testingStable queues, job cleanup, continuous use
M4 Plus
MLX
High-memory inference and batch jobsUnified memory monitoring, model storage, long-running jobs
M4 Pro
Dedicated physical machine Non-virtualized Delivery in about 4 minutes
3 tiersFixed configurations
6Available nodes
365 daysNormal node operation
USDSingle billing currency
Start with your workload

Six workload types, side by side—no need to guess the model first

Choose a workload to jump straight to the relevant preparation steps. The cards keep every use case visible, making it easy to compare the resource needs of development, inference, production, and collaboration.

iOS and macOS development

Keep versions, caches, and artifacts separate

A stable development machine depends on more than the chip. If Xcode versions, simulator data, dependency caches, and signing materials share one directory, upgrades and team handoffs amplify risk.

View the connection guide
01

Lock Xcode and toolchain versions

Before starting, record the Xcode major version, selected command-line tools, and the project's minimum OS requirement. Keep the current reproducible environment before upgrading, and avoid switching toolchains during a release window.

Version checklist
02

Use simulators based on test coverage

Keep only the device and OS combinations your project actually supports, and regularly remove unused runtimes and derived data. When running multiple simulators in parallel, include peak memory in model selection.

Test matrix
03

Isolate signing materials

Use separate permission boundaries for signing files, keys, and ordinary source code. Automation jobs should read only what they need to complete the task, and temporary access should be revoked afterward.

Permission boundaries
04

Plan dependencies and build caches

Store package-manager caches, DerivedData, and disposable intermediate artifacts in separate layers. Measure actual project usage before deciding whether to add a +1TB SSD or +2TB SSD.

Cache directories
05

Return verifiable build artifacts

Archives should include the commit version, toolchain version, test results, and verification data. Do not treat the Cloud Mac as the only copy; return important artifacts to your team's own storage.

Delivery archive

Configuration tip:For single-project debugging and sequential builds, start with VPSGit M4 Core. For larger dependency trees, continuous builds, or multiple simulator tasks, evaluate VPSGit M4 Plus first. Base upgrades on peak memory, queue time, and disk growth.

CI/CD teams

Make Runners disposable, not progressively dirty

A dedicated physical node suits self-hosted Runners that need a fixed macOS environment, controlled caches, and stable queues. Define concurrency limits, cleanup ownership, and recovery paths for failed jobs before configuring the node.

Queue design

Split labels by resource type

Use separate labels for lightweight checks, full builds, simulator tests, and release jobs. Prevent one long-running job from filling the executor and leaving short checks waiting.

  • Limit high-memory jobs running simultaneously
  • Reserve a separate queue for release jobs
  • Record average queue and execution times
Short-term scaling

Cover sprint cycles by the week

Release sprints, concentrated regression testing, and temporary migrations usually suit weekly rentals. When build queues are steady every day, monthly terms make it easier to keep caches and toolchains consistent.

  • Confirm job counts before short-term scaling
  • Track cache-hit rates for long-running queues
  • Check disk-growth trends before renewal
Job completion

Clean up after failures too

Include temporary credentials, work directories, simulator state, and leftover processes in the finally stage. Repeatedly failing jobs should exit the retry loop while preserving auditable logs.

  • Revoke task-level temporary access
  • Remove unused work directories
  • Save failed steps and commit versions
Concurrency check

Measure the queue before adding concurrency

Simply adding more Runners can amplify memory, disk, and network contention. Record peak queue length, average execution time, and retry counts over a week before deciding whether to split jobs, extend the term, or upgrade to a 24GB or 64GB configuration.

Lightweight checks
Prefer sequential execution
Continuous builds
Evaluate from 24GB
High-memory testing
Validate the 64GB limit
AI and MLX experiments

Choose the configuration by peak unified memory

Model-file size is not the only metric. Inference also uses memory for the runtime, caches, batch inputs, and result buffers, so size the machine for peak unified memory during the actual workload.

What to record for a reproducible MLX task

Model sourceName, version, checksum
Runtime environmentPython, MLX, dependency versions
Input parametersBatch size, context, precision settings
Resource monitoringPeak memory, disk, duration
Result transferOutput files, logs, reproducibility record

Runtime boundaries for long-running jobs

Keep jobs running through a session manager or service process rather than relying on a remote desktop connection. Store models, logs, and results separately, and set checkpoints for remaining disk space.

  • Verify model-file integrity before launch
  • Monitor memory pressure and swap usage during execution
  • Keep resumable checkpoints between batches
  • Transfer results and clear caches after completion
Model selection for MLX and AI workloads
Workload scope Recommended starting point Decision criteria Upgrade signals
Environment validation, small-model trials VPSGit M4 Core M4, 16GB, 256GB The model and runtime approach the memory limit, or local disk remains insufficient
Continuous experiments, medium-batch inference VPSGit M4 Plus M4, 24GB, 512GB Batch queues become noticeable, memory pressure stays high, and caches require frequent cleanup
High-memory models, parallel batches, and resident processes VPSGit M4 Pro M4 Pro, 64GB, 2TB First verify that the workload runs reliably within the 64GB unified-memory limit
Media and remote desktops

Test the interactive path before transferring full media

Smooth Final Cut Pro remote use depends on node selection, input latency, image quality, proxy media, and upload bandwidth. Validate the connection with a small project before choosing how to sync the full media set.

Prioritize proxy media

Generate smaller proxy files before remote editing and maintain a clear mapping between originals and proxies. Confirm the timeline, plugins, and fonts before performing the final export.

Input: proxy media Output: project package and final video

Evaluate input latency

Test pointer movement, timeline scrubbing, keyboard shortcuts, and preview playback separately. Do not rely on a single speed test; observe jitter and sustained stability during working hours.

Observe: input and video Validate: actual working hours

Handoff accounts and tasks

Give each member an independent access scope and never share sensitive credentials. Handoff records should include the project location, current export status, remaining tasks, and temporary access to revoke.

Handoff: task status Wrap-up: revoke access
Node selection method

Start testing where your team and dependencies are

For Asia-Pacific workflows, compare Singapore, Japan (Tokyo), South Korea (Seoul), and Hong Kong. When repositories, teams, or media storage are mainly in North America, also test the US East and US West. Do not choose solely by geographic distance; observe remote-desktop jitter, dependency downloads, and file transfers together.

Team collaboration

Hand off tasks, not ambiguous status

When a Cloud Mac is shared across time zones, what gets lost most easily is not the files but the current branch, running processes, temporary access, and unreturned results. Every handoff should leave an auditable record.

01

Define permission boundaries

Assign system access, project directories, and automation permissions by role. Temporary collaborators should receive only the scope needed for the current task, with access revoked immediately afterward.

02

Standardize the task handoff format

Record the current branch, commit version, commands run, completed steps, failure point, background processes, and the next action for the following team member.

03

Keep backups independent of the node

Source code, models, media projects, and build artifacts should have independent copies. The node's work directory is for running tasks and should not become the team's only storage location.

04

Complete offboarding before expiration

Check pending files to transfer, stop resident processes, revoke access, remove sensitive material, and confirm that backups work. Do not schedule migration for the final few minutes of the term.

Three-model mapping

From lightweight builds to 64GB high-memory workloads

Only the three available configurations are listed below. Prices are shown for fixed terms; real-time node availability and checkout results are returned by the console.

View full pricing
VPSGit Cloud Mac models and recommended workloads
Model Hardware specifications Fixed-term pricing Recommended workloads Selection boundary
VPSGit M4 Core M4
16GB RAM
256GB SSD
$19.5/day
$52.6/week
$97.4/month
$264.9/quarter
Light Xcode builds, sequential automation jobs, environment validation, small-scale MLX trials Ideal for starting with one queue; measure peak usage before running parallel simulators, large caches, or higher-memory workloads
VPSGit M4 Plus M4
24GB RAM
512GB SSD
$41.7/day
$112.5/week
$208.4/month
$566.8/quarter
Continuous builds, self-hosted Runners, medium-batch inference, larger dependency caches Suited to stable queues and continuous use; evaluate the 64GB configuration for high-memory models and multiple heavy jobs
VPSGit M4 Pro M4 Pro
64GB RAM
2TB SSD
$60.9/day
$164.4/week
$304.4/month
$828/quarter
High-memory MLX inference, parallel batches, resident jobs, larger media projects For workloads that clearly need 64GB unified memory or 2TB of local space; not a replacement for independent backups
Before you start

Write down six facts before ordering

Use this checklist to confirm that the workload can move smoothly into delivery. Every item should have a clear choice or validation method, not a last-minute decision after the machine is delivered.

01 Node

Choose the test scope based on team location, repository, dependency sources, and end-user location. Compare network jitter and download performance without assuming a fixed latency.

02 Term

Daily terms suit temporary debugging, weekly terms suit sprints and concentrated regression testing, monthly terms suit continuous builds, and quarterly terms suit stable team resources.

03 Storage add-ons

Estimate the peak total of source code, dependencies, models, proxy media, caches, and outputs before deciding whether you need a +1TB SSD or +2TB SSD.

04 Thunderbolt 5 linking

Choose this only when multi-device coordination is clearly required and supported by the workflow. Confirm that the task can be split, data paths are clear, and each device has an independent responsibility.

05 Payment methods

Orders are billed in USD. We support USDT-TRC20 or Visa / Mastercard / Amex via Stripe; actual gateway availability is returned by the backend.

06 Data migration time

Plan for uploads, verification, cache warming, result transfer, and offboarding before expiration. Do not wait until a task starts to transfer large models or media for the first time.

If you are unsure which tier to choose, send the task type, peak memory, concurrent job count, estimated disk usage, target node, and term to support@vpsgit.com, or sign in to the console to submit a ticket. Do not send account keys or other sensitive credentials.

Ready to submit a workload

Choose a model, term, and node to start delivery

All three configurations are dedicated Apple Silicon physical nodes and non-virtualized. Rent by the day, week, month, or quarter, with standard delivery in about 4 minutes.

Pay with USDT-TRC20 or Visa / Mastercard / Amex via Stripe. All orders are billed in USD.