Singapore · Mac mini M4

Rent a Mac mini M4 Cloud Mac from Singapore

Dedicated physical nodes available by the day for iOS, macOS, CI/CD, and MLX workflows in Southeast Asia. Fixed chip, memory, and storage specifications, with full macOS GUI and command-line access—not virtual machines.

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  • Rent by the day, week, month, or quarter
  • Dedicated physical machine with no shared resources
  • All nodes run continuously 365 days a year
Singapore Mac mini M4 cloud physical node use cases
Node selection Singapore
Network reference 20~50ms
Starting rental rate $19.8 / day
Delivery target About 4 minutes
Node type Dedicated physical machine
Live inventory is shown at the ordering portal

Configurations and billing terms

Choose memory for your workload, then choose a term for your project

All three plans provide one dedicated physical Mac mini. Start with daily billing for short releases, compatibility testing, or bug reproduction; choose weekly billing for iteration sprints; monthly or quarterly billing is better for continuous builds and fixed Runners. Pricing does not depend on hidden discounts—review the selected term directly at checkout.

M4 · 16GB

Pulse M4

m4-16-256

Ideal for single-project Xcode builds, lightweight automated testing, short-term remote desktops, and low-concurrency self-hosted Runners.

$19.8 / day
ChipM4
Unified memory16GB
SSD256GB
Access methodsVNC / SSH
Daily$19.8
Weekly$53.6
Monthly$99.2
Quarterly$269.8

If the repository, Derived Data, dependency caches, and build artifacts will all remain on the node, confirm that 256GB is sufficient before starting to avoid moving files during a release.

Choose Pulse M4
M4 · 24GB

Vector M4

m4-24-512

Designed for mid-sized Xcode projects, parallel testing, continuous integration caches, and development workflows that need more memory headroom.

$40.5 / day
ChipM4
Unified memory24GB
SSD512GB
Access methodsVNC / SSH
Daily$40.5
Weekly$109.3
Monthly$202.4
Quarterly$550.5

24GB of memory and a 512GB SSD are better suited to keeping multiple toolchains, simulator data, and dependency caches at once, but you should still define cleanup rules for logs and build artifacts.

Choose Vector M4
M4 Pro · 64GB

Apex M4 Pro

m4pro-64-2tb

Built for memory-intensive MLX prototyping, multi-task builds, larger dependency caches, and engineering work that needs 2TB of local workspace.

$60.8 / day
ChipM4 Pro
Unified memory64GB
SSD2TB
Access methodsVNC / SSH
Daily$60.8
Weekly$164.1
Monthly$303.9
Quarterly$826.6

The high-memory tier is suited to testing larger models or parallel workloads. Before renting, check requirements against model size, peak memory, and intermediate-file volume.

Choose Apex M4 Pro

Storage and parallel connection options

When you need more capacity, a +1TB SSD costs $2.3/day, $6.1/week, $11.3/month, or $30.7/quarter; a +2TB SSD costs $4.6/day, $12.2/week, $22.6/month, or $61.4/quarter; Thunderbolt 5 parallel connectivity costs $1.1/day, $3/week, $5.5/month, or $15/quarter per machine.

USD billing and payment

All prices and orders are billed in USD. We support USDT-TRC20, plus Visa / Mastercard / Amex through Stripe. Available payment gateways are confirmed during checkout.

Node network facts

Average latency reference for Southeast Asia: 20~50ms

This figure helps compare remote desktop and command-line access before ordering and is measured in milliseconds. Lower latency generally makes keyboard input, window controls, and interactive debugging feel more responsive. Bulk dependency downloads, build uploads, and large model synchronization are also affected by local uplink bandwidth, carrier routing, repository location, and file count.

Use 20~50ms as a network reference for node selection, not as a guaranteed result for every session. Before starting production work, check packet loss, jitter, and upstream/downstream bandwidth from the office network you plan to use, then test both VNC and SSH on that same network. If team members are spread across locations, record each person’s results rather than using one test to represent the entire team.

For interactive development, focus on keyboard response, screen refresh, and session reconnection. For CI/CD, also check the paths to the code repository, dependency sources, and build-artifact destination. When builds run mainly on an automated Runner, developer-to-node latency is not the only decision factor; repository and artifact transfer paths matter too.

Coverage area Southeast Asia
20~50 ms average latency reference
Test the connection path from your actual office network first
Validate VNC interaction and SSH command execution separately
Include repository and artifact destinations in path checks

From order to ready

Delivery checks complete in about 4 minutes when inventory is available

Timing starts after payment confirmation. The system then validates the order, allocates a physical node, generates credentials, and checks connectivity. Time spent entering payment details, reviewing the plan, and changing initial security settings is not included in the 4 minutes.

  1. 01

    Payment confirmation

    About 30 seconds

    After you submit the order, the system verifies the model, billing term, storage options, node, and payment result. For USDT-TRC20, transfer the amount and use the network shown at checkout; for card payments, Stripe processes Visa, Mastercard, or Amex.

    Completion: the order status changes to Pending allocation
  2. 02

    Physical node allocation

    About 2 minutes

    The system locks one dedicated physical machine from the target model’s available inventory and records the chip, memory, SSD, rental term, and additional configuration on the order. Inventory is managed separately by model, so availability of other tiers in the same region does not guarantee immediate allocation of the target tier.

    Completion: the order receives a unique node record
  3. 03

    Access credential generation

    About 1 minute

    Once the node record is created, the system generates access details for the rental term and writes connection information to the console. After receiving the credentials, verify the order number, model, and term first, then store them in your team’s approved credential manager. Do not place passwords, private keys, or unredacted certificates in build logs.

    Completion: connection details appear in the console
  4. 04

    Connectivity check

    About 30 seconds

    After the basic network check completes, the node becomes ready for connection. For the first access, verify the command line with SSH, then establish a graphical VNC session. Next, update the initial security settings, confirm available disk space, and record the Xcode and dependency versions you plan to install.

    Completion: the node status shows Available
Total system processing About 4 minutes

Delivery timing starts when the target model has available inventory and payment is confirmed. Final inventory, allocation status, rental start and end times, and node access details are governed by the order information.

Check live inventory and order

Frequently asked questions

What should I confirm before ordering a Singapore node?

These questions focus on node selection, latency, and model inventory. For connection issues, development environments, or pipeline troubleshooting, include the order number, node, timestamp, reproduction steps, and redacted logs in a console ticket.

When Singapore has nodes available, are all three models necessarily in stock?

Not necessarily. Pulse M4, Vector M4, and Apex M4 Pro inventory is managed separately by chip, memory, and storage tier. One tier being orderable does not imply that the other two can be allocated immediately. Before ordering, verify the model, rental term, additional storage, and node status at the ordering portal; after submission, track delivery using the allocation status in the order.

How should I interpret the 20~50ms from Singapore to Southeast Asia?

This is an average latency reference for the target coverage area, intended for an initial comparison of node locations. It does not mean every carrier, office network, or time of day will produce the same result. For VNC remote desktops, also monitor latency, jitter, packet loss, and screen refresh. Automated builds should additionally check the paths from the node to the code repository, dependency sources, and artifact destination. Before moving a pipeline, run a small connection and file-transfer test on the network you plan to use long term.

Which Mac mini tier should I choose for Xcode builds or MLX experiments on Singapore?

For single-project builds, short-term compatibility testing, and low-concurrency Runners, start by evaluating Pulse M4 with 16GB of memory and a 256GB SSD. If you need more simulator data, dependency caches, or parallel testing, Vector M4 with 24GB and 512GB is a safer choice. For high-memory MLX prototypes, large intermediate files, or multi-task builds, consider Apex M4 Pro with 64GB and 2TB. Base the final decision on peak memory, repository size, cache growth, and concurrent workload count—not just the chip name.

Get started

Start this cloud Mac rental with a fixed configuration

Confirm the model, memory, storage, billing term, and target node before ordering. All orders are billed in USD and support only USDT-TRC20 and Visa / Mastercard / Amex through Stripe.

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