- Delivery model
- 1 order = 1 dedicated physical machine
- Processor options
- M4 / M4 Pro
- Rental term
- Daily / Weekly / Monthly / Quarterly
- Remote access
- SSH or macOS graphical interface
- Operating model
- Runs normally 365 days a year
Rent a Mac mini M4 in Singapore and keep long-running tasks in the cloud
Built for developers and engineering teams in Southeast Asia, with always-online Apple Silicon physical nodes for iOS/macOS builds, self-hosted runners, MLX inference services, and remote graphics workflows.
All three configurations provide a dedicated physical machine, not a virtual machine. Standard combinations are generally available to order; actual availability is returned in real time by the console.
Choose a machine by memory and workload first, then select your rental term
All prices are in USD. Use daily or weekly billing for short-term validation, or monthly or quarterly billing for ongoing build and inference workloads. Each plan card shows the full price for every term, so you can see the total cost instead of calculating it from an entry price.
VMKeep M4 Core
M4 · 16GB · 256GB
$19.2/day
- Daily$19.2
- Weekly$51.7
- Monthly$95.8
- Quarterly$260.6
Ideal for lightweight Xcode builds, automation scripts, small MLX model validation, and short-term compatibility testing.
VMKeep M4 Plus
M4 · 24GB · 512GB
$39.4/day
- Daily$39.4
- Weekly$106.3
- Monthly$196.9
- Quarterly$535.6
Built for continuous CI, React Native builds, medium-sized model inference, dependency caching, and rotating multiple automation tasks.
VMKeep M4 Pro
M4 Pro · 64GB · 2TB
$60.8/day
- Daily$60.8
- Weekly$164.1
- Monthly$303.8
- Quarterly$826.3
Designed for high-memory MLX inference, quantization validation for larger models, parallel runners, long-running builds, and archiving large artifacts.
Reference average latency to Southeast Asia: 20~50ms
This figure helps teams estimate the access distance for interactive development, remote graphics, and API calls. Actual latency depends on the access location, carrier routing, local network quality, encrypted tunnels, and task concurrency. Before migration, run SSH and graphical interface tests from the networks your team uses most.
For build queues, runners, model inference, and scheduled automation, a stable task execution path is usually more important than the lowest latency in a single test. Keep source code, dependency caches, build outputs, and model files on the same physical node to reduce repeated cross-network transfers.
Reference average latency
Access baseline for Southeast Asia to support initial region selection; it does not replace your team’s own network testing.
- Interactive tasks
- Test keyboard input, window refreshes, repository pulls, and small-file sync first before committing to a full day of graphical work.
- Automated tasks
- Keep caches and artifacts on the node and send back only essential logs and outputs after builds finish to reduce the impact of network fluctuations.
- Service workloads
- When deploying an MLX API, first verify the listen address, port access, process supervision, and log rotation before connecting upstream applications.
Complete setup in four steps without repeatedly reselecting options on the summary page
Estimated times indicate how long users typically need to complete each action and are not fixed delivery commitments. Actual availability, payment gateway, and node information are returned in real time by the console.
-
Step 1 · About 2 minutes
Choose a configuration
Choose among 16GB, 24GB, and 64GB based on peak memory, working-directory size, and concurrent task volume. For model inference, leave headroom above peak memory; for builds, check cache and artifact capacity as well.
-
Step 2 · About 1 minute
Select a term and expansions
Choose daily or weekly billing for short-term validation, or monthly or quarterly billing for stable pipelines. If your repository, dependency cache, models, and build artifacts may exceed the base disk capacity, review storage expansions when placing the order.
-
Step 3 · About 3 minutes
Review and pay for your order
After confirming the machine, term, expansions, and total USD amount, pay with USDT-TRC20 or Visa / Mastercard / Amex (via Stripe). The actual available gateway is determined by the backend response.
-
Step 4 · About 5 minutes
Save node details and verify the connection
Once the console returns the machine details, save the order number and connection parameters, then verify access via SSH or the macOS graphical interface. After your first login, update the password or keys and document the access boundaries your team will use going forward.
Three questions to answer before ordering
These answers focus on node selection, pricing, and order regions, without repeating connection troubleshooting guidance.
Which teams are Singapore nodes best for?
They are best suited to teams whose core members, code repository entry points, or upstream API users are located in Southeast Asia and want shorter day-to-day remote interaction paths. For unattended builds or batch inference, also compare the locations of your source, artifacts, and callers rather than looking only at single-request latency.
Will a Singapore node change the page pricing for the three machine tiers?
The three base configurations on this page start at $19.2/day, $39.4/day, and $60.8/day, with weekly, monthly, and quarterly billing priced as shown on each card. Storage expansions and Thunderbolt 5 parallel connections are added separately to the order; the final amount is confirmed on the console checkout page.
Can I move the machine directly from Singapore to another region after ordering?
The region is part of the order configuration, so a cross-region change should not be treated as an instant switch for the existing machine. If your workload needs a different region, first export your code, build artifacts, models, and required configuration, then create an order in the target region. After validating the new machine, revoke keys and tokens on the old one.
Put the machine, term, and expansions into one run order
Check real-time configuration availability in the console before completing payment in USD. If you need to compare memory, storage, and all four billing cycles item by item, open the full plans page first.