DeployMac M4 and DeployMac M4 Pro are Apple Silicon Cloud Macs, with one dedicated physical machine per order. Resources are never shared with other users, and these are not virtual machines. Rent by the day, week, month, or quarter, then choose your configuration based on memory pressure, build concurrency, and data volume.
The two configurations differ mainly in chip, memory, and local storage. Start with M4 for short-term validation, single-project archiving, and low-concurrency pipelines. Consider M4 Pro first for concurrent projects, large dependency graphs, or memory-intensive experiments.
Suitable for single-project development, temporary archives, automated testing, toolchain validation, and CI tasks with controlled concurrency.
For tasks that run only for a few days, validate the complete workflow with a daily term first. For ongoing use, choose a longer term based on actual queue behavior and disk growth.
Suitable for high-concurrency builds, persistent multi-repository environments, large caches, model inference, and workloads that need substantial memory headroom.
Do not choose the higher tier based on the task name alone. Measure peak memory, simultaneous builds, dependency-cache size, and task duration before deciding whether 64GB RAM is necessary.
All prices shown are in USD. Daily plans suit short validation runs and fixed deadlines; weekly plans suit sprint periods; monthly and quarterly plans suit persistent development environments or build runners.
| Configuration | Daily | Weekly | Monthly | Quarterly |
|---|---|---|---|---|
| DeployMac M4 | $19.3 | $52.1 | $96.5 | $262.5 |
| DeployMac M4 Pro | $61.5 | $166.2 | $307.7 | $836.9 |
Base your term on continuous task runtime. Include queue time, environment rebuilds, dependency downloads, and artifact exports in your estimate. Term changes and order status are determined by the information returned in the console.
Low average CPU usage does not mean 16GB of memory will always be enough. Track peak build memory, concurrent tasks, working-directory and cache size, and whether a failed task requires the full environment to be retained.
| Task type | Evaluation criteria | Recommended configuration | What to validate |
|---|---|---|---|
| Lightweight builds and short tasks | Primarily one project; stable dependency size; peak memory stays within 16GB; local working set fits within the available space on a 256GB SSD. | DeployMac M4 | Run one complete archive, export, and artifact-validation cycle to confirm there is no memory pressure or disk-cleanup bottleneck. |
| Daily multi-project development | Compare both tiers based on the number of open projects, simulators or test processes, cache size, and background-service usage. | M4 for low concurrency; M4 Pro for high concurrency or greater headroom | Record peak RAM, parallel build count, task duration, and the cost of failed-task retries. |
| CI/CD runner | Start with M4 for serial queues and short tasks. For multiple concurrent runners, many repositories, or long-lived caches, prioritize calculating the need for 64GB RAM and 2TB SSD. | Choose between M4 and M4 Pro based on concurrency | Run multiple rounds with real repositories and observe cache hits, queue wait time, disk growth, and task isolation. |
| Large-model inference and memory-intensive experiments | Total memory for the model, context, runtime, and other processes clearly exceeds a lightweight development environment, or large datasets and intermediate results must be retained. | DeployMac M4 Pro | Check model memory requirements and disk volume first, then validate with the target input size rather than an idle environment. |
Measure the IDE, build processes, simulators, cache services, and remote sessions together. When memory approaches its limit, occasional concurrency can significantly change completion time.
In addition to source code, calculate dependencies, archives, symbol files, test reports, and logs. Evaluate an SSD upgrade at checkout if you need more space.
Do not substitute a single empty-queue test for production load. Reproduce the number of tasks that run concurrently during a normal peak before upgrading the configuration.
Choose add-ons based on data volume, retention period, and device coordination. Do not use expanded storage instead of cleaning build artifacts, and do not add Thunderbolt 5 without a defined linking requirement.
Suitable when dependency caches, archives, and test artifacts exceed the base drive headroom but a larger data working set is not needed.
Suitable for larger model files, multi-project archives, long-term caches, or workloads that retain intermediate results from multiple experiments.
For deployments with a confirmed need for high-speed coordination between devices. Before ordering, define the device count, data flow, and whether the toolchain supports the target setup.
Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, and US East offer both catalog configurations. “Available” means the model-location combination is normally orderable in the catalog; actual availability and delivery details are returned in real time by the console.
| Configuration | Singapore | Japan (Tokyo) | South Korea (Seoul) | Hong Kong | US East |
|---|---|---|---|---|---|
| DeployMac M4 | Available | Available | Available | Available | Available |
| DeployMac M4 Pro | Available | Available | Available | Available | Available |
Test candidate locations from the fixed network your team uses every day. Do not substitute a single mobile-network result for the long-term network path.
The path to code repositories, artifact services, and dependency sources also affects the complete pipeline—not just remote desktop responsiveness.
Run a real repository build in the candidate location and record the time for fetching, dependency restoration, compilation, testing, and artifact upload.
Writing down the workload, concurrency, storage, and location first can reduce the need to recheck your configuration after ordering.
After ordering, view the device configuration, location, term, and order status in the console. Recheck the model, term, location, and add-ons before submitting.
This page compares catalog configurations and public prices. The final device details, location, add-ons, and term are determined by the order confirmation generated in the console.
Read the first-connection acceptance stepsChoosing a configuration involves more than comparing chips and prices. Term changes, network paths, additional storage, device linking, and delivery details all affect the final workflow.
At checkout, choose from daily, weekly, monthly, or quarterly terms. Your estimate should include environment reproduction, dependency downloads, build execution, result validation, artifact export, and cleanup. For existing orders, the current order status in the console determines available term information and actions.
Test both. Start by comparing connectivity from your primary access location to Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, and US East. Then include code repositories, dependency sources, artifact services, and the team’s working time zone. Finish with one complete build from a real repository.
Evaluate an upgrade when source code, dependencies, archives, test reports, symbol files, models, and intermediate results exceed the base drive’s practical capacity. First establish cleanup rules and retention periods. If growth comes from disposable caches, optimize cleanup instead of immediately expanding the disk.
It suits deployments that clearly require coordination across multiple devices and whose toolchain supports the intended data flow. This add-on is priced per device. Confirm the device count, linking purpose, data path, and task-scheduling method before ordering; linking is not a general performance upgrade.
After submitting your order, verify the device configuration, location, term, system information, and access credentials in the console. Catalog combinations are normally orderable, while actual availability and final delivery details are determined by the console’s live response and the order confirmation. After first connection, validate the chip, memory, disk, and system version against the support documentation.
If you have not finished selecting a plan, record peak memory, concurrent task count, working-set size, and primary access location first. If the parameters are clear, proceed directly to configuration.