Task Duration
Schedule an urgent fix by the day; use weekly terms for work spanning iterations; plan stable pipelines monthly or quarterly to reduce repeated environment setup.
Choose a Configuration from Your Task
Put a Cloud Mac into a Real Workflow—not Just a Spec Comparison
DplyMini provides two tiers of dedicated physical cloud Mac mini machines. These are non-virtualized devices for short-term and project-based work requiring a macOS graphical interface, command line, Xcode, continuous builds, or a local inference environment.
Assess task duration, process concurrency, peak memory, graphical interaction needs, and the amount of data to upload and retrieve before choosing the configuration, rental term, node, and additional storage.
2 tiers
Available configurations
5
Orderable nodes
4
Rental terms
Device runbook
TASK / SELECT
Configurable
01
Task Duration
One-off fixes, iteration cycles, or continuous pipelines
02
Concurrency
A single build, a Runner queue, or background batch processing
03
Resource Peaks
Memory usage, caches, and intermediate artifact size
- Light workloads
- DeployMini M4 16
- Parallel workloads
- DeployMini M4 24
- Interaction mode
- SSH / Graphical interface
- Deliverables
- Artifacts / Logs / Data
Singapore · Japan (Tokyo) · South Korea (Seoul) · Hong Kong · Western United States
Runs normally all year, 365 days
Five Decision Inputs
Start Configuration Selection with Task Constraints
The chip name is only one input. The five factors below directly affect your choice of model, term, node, and storage. Review each one before placing an order.
Concurrency
A single-project archive puts very different pressure on the system than multiple Runners building simultaneously. Parallel builds also add dependency resolution, testing, and artifact compression overhead.
Memory Usage
Estimate whether compile peaks, simulators, model weights, and background processes will coexist. Choose the 24GB configuration when you need more headroom.
Interaction Needs
Use SSH for command-line-only builds. Enable the browser-based graphical interface when you need to inspect timelines, use graphical tools, or debug interactively.
Data Volume
Code repositories, dependency caches, models, source media, and output files all consume storage and transfer time. Reserve capacity for intermediate artifacts before ordering.
Real Task Paths
Four Workflows, from Inputs to Retrievable Results
Each runbook defines its inputs, actions, and required exports before completion. Finishing the task does not mean the data has been safely migrated; include verification and cleanup in the workflow.
Urgent Fixes and Test Build Delivery
Pull the project from the code repository, verify Xcode and dependency versions, then complete certificate checks, archiving, and test distribution. Ideal for developers with a defined fix and a temporary macOS environment.
- Recommended configuration
- DeployMini M4 16
- Recommended term
- Daily
- Primary deliverables
- Archive, test build, build logs
Runner Queues and Parallel Builds
Have the queue trigger xcodebuild, tests, and fastlane. Include dependency caches, build logs, and artifact uploads in the same pipeline instead of focusing only on the compile command and overlooking delivery.
- Recommended configuration
- DeployMini M4 24
- Recommended term
- Weekly, monthly, or quarterly
- Primary deliverables
- Build artifacts, test reports, traceable logs
Model Sync and Inference Validation
Sync models and test data, pin dependency versions, run inference within available memory, and record parameters, duration, and outputs. Reproducibility matters more than preserving a single successful result.
- Recommended configuration
- DeployMini M4 24
- Recommended term
- Daily or weekly
- Primary deliverables
- Environment manifest, inference results, validation records
Media Review, Batch Processing, and Retrieval
Upload media in batches, inspect timelines and parameters through the graphical interface, leave encoding or batch processing running in the background, then verify file counts, sizes, and checksums.
- Recommended configuration
- DeployMini M4 24
- Recommended term
- Daily or weekly
- Primary deliverables
- Final media, proxy files, checksum manifest
DeployMini M4 16
Independent Development Workflow
Turn an Urgent Fix into a Deliverable Task
A Mac Mini M4 with 16GB RAM and a 256GB SSD suits clearly scoped fixes, certificate verification, archiving, and test distribution. The daily price is $21.3/day, making it a good fit for short tasks that do not require a long-lived environment.
Completion Criteria
The test build installs, logs are saved, the archive and required configuration are exported, and temporary credentials have been revoked.
-
01
Pin Input Versions
Record the code branch, commit, Xcode version, dependency lockfile, and target OS version. Verify the environment after connecting instead of starting the archive immediately.
-
02
Verify Signing Materials
Import only the certificates and configuration files required for this task, then confirm their permissions and validity. Transfer sensitive materials through a controlled method; never put them in the code repository.
-
03
Archive and Generate a Test Build
Build, test, and archive while retaining complete logs. When a run fails, first distinguish code, dependency, signing, and environment errors before deciding whether to retry.
-
04
Export, Verify, and Clean Up
Download the archive, test build, and logs, then verify file sizes or checksums. After confirming the local copies work, revoke temporary credentials and remove sensitive files.
DeployMini M4 24
CI/CD Team Workflow
Bring Runners, Caches, and Artifacts into One Pipeline
A Mac Mini M4 with 24GB RAM and a 512GB SSD provides headroom for parallel builds and higher memory peaks. Pricing is $107.9/week,$199.8/month or $543.5/quarter, so you can match the term to your project timeline.
Capacity Limits
Do not size concurrency by CPU idle time alone. Also watch peak memory and storage after dependency resolution, test processes, compression, and cache writes overlap.
-
01
Define Runner Boundaries
Set concurrency limits, working directories, timeouts, and cleanup rules for each Runner. Use separate directories for different projects to prevent cache and environment-variable contamination.
-
02
Design Cache Keys
Include dependency lockfiles, tool versions, and target architectures in cache keys. Regenerate on a miss instead of letting stale caches become untraceable build inputs.
-
03
Connect Build and Release
Have the queue trigger xcodebuild, tests, and fastlane. Output an explicit status at every stage and retain sufficient logs after failures instead of returning only the final exit code.
-
04
Externalize Artifacts and Audit Records
Upload artifacts, test reports, and key logs immediately after the build. Keep working caches on the machine while the artifact system stores results that need long-term tracking.
Prioritize 24GB RAM
AI Experiment Workflow
Verify Stable Reproduction before Scaling Data
Choose DeployMini M4 24 first for AI inference experiments. Estimate model weights, runtime usage, input batches, and intermediate files before starting so you do not discover insufficient capacity after the model has loaded.
Storage Expansion
+1TB SSD: $2.4/day, $6.6/week, $12.2/month, $33.2/quarter; +2TB SSD: $4.8/day, $13.2/week, $24.4/month, $66.4/quarter.
-
01
Set a Resource Budget
List model size, dependencies, input data, intermediate results, and expected outputs. Reserve space for the runtime and system processes instead of assigning the entire stated disk capacity to the model.
-
02
Pin the Experiment Environment
Record the runtime, dependency versions, model checksum, parameters, and randomness settings. Every result should trace back to a clearly defined environment manifest.
-
03
Validate with a Small Sample
Start with small batches to check model loading, output format, and memory peaks, then gradually scale the data. Preserve input excerpts and redacted logs when anomalies occur.
-
04
Export Reproducible Results
Save the environment manifest, commands, key parameters, result files, and verification data. Transfer large outputs in batches and verify them again at the destination.
Graphical Review + Background Processing
Media Workflow
Separate Interactive Review from Long-Running Batch Processing
Inspect media, timelines, subtitles, and output parameters through the graphical interface, then leave encoding, transcoding, or batch processing to the background. DeployMini M4 24 is priced at $40/day, making it suitable for short-term tasks with larger media volumes and higher memory usage.
Transfer Principles
Upload media in batches and verify each batch. Run sustained processing in the background. After retrieving the final files, verify their count, size, duration, and checksums again.
-
01
Upload Media in Batches
Split uploads by project, date, or shot group. Record file counts and verification results after each batch so incomplete source files do not surface only at the end.
-
02
Review in the Graphical Interface
Check timelines, proxy files, subtitles, color settings, and output parameters. Prioritize connection stability for interactive desktop use; do not use it for repeatedly moving large files.
-
03
Run Batch Processing in the Background
Send transcoding, encoding, or batch exports to background tasks with output logs and stage status. If the graphical session disconnects, the background task should continue without relying on the foreground window.
-
04
Verify and Retrieve Final Media
Check output format, resolution, duration, audio tracks, and file size, then retrieve files in batches. After confirming the destination files work, remove temporary media and caches.
Configuration and Region Combinations
Both Tiers Cover All 5 Orderable Nodes
Both DeployMini M4 16 and DeployMini M4 24 are available in Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, and the Western United States. All catalog combinations are marked as sufficient; actual availability at order time is returned live by the console.
| Node | DeployMini M4 16 | DeployMini M4 24 |
|---|---|---|
| SingaporeSoutheast Asia route | Sufficient | Sufficient |
| Japan (Tokyo)East Asia route | Sufficient | Sufficient |
| South Korea (Seoul)Northeast Asia route | Sufficient | Sufficient |
| Hong KongSouth China and Southeast Asia route | Sufficient | Sufficient |
| Western United StatesNorth American West Coast route | Sufficient | Sufficient |
Do Not Look Only at Your Team’s Location
The node should also be close to your code repository, dependency sources, signing services, artifact storage, and final delivery destination. End-to-end route stability is usually more important than the lowest latency at a single point in time.
Data Migration Is Part of the Task
Keep independent backups of important project data. Before the term ends, export artifacts, revoke temporary credentials, and verify files at the destination. Never treat a dedicated physical Mac as the only copy.
Quick Configuration Guide
Perform a Final Check Based on the Task Shape
If the same task has several high-load characteristics, evaluate the higher-tier configuration and allow time for transfers, caching, and result exports.
Single project, short duration, low concurrency
- Urgent fixes and one-off archives
- A single Runner or sequential tasks
- The project and dependencies fit on a 256GB SSD
- Commands run primarily over SSH
Parallel builds, inference, or large media
- Multiple Runners or parallel tests
- Higher memory peaks and background tasks
- Larger models, caches, or media volumes
- Graphical review and continuous batch processing required
Next Steps
Choose the Workflow First, Then Add the Configuration to Your Order
If you are still comparing resources, review the plans first. When ready to execute, follow the getting-started steps to verify the node, SSH public key, tool versions, rental term, and data migration plan.