Bring a dedicated Apple Silicon node into your development and AI workflows. Get fixed chip, memory, and local storage, with six available regions and automated delivery in about 4 minutes.
From $19.5/day. Availability is confirmed in real time by the console.
Apple M4 · Fixed memory and storage · Remote management
Choose a region based on your team's location, code repository, and artifact storage.
ArmMesh M4 starting daily rate
Rent by the day, week, month, or quarter
Each customer gets a dedicated physical Mac. Compute, memory, and local storage are not shared with other tenants—ideal when you need a consistent environment, fixed resources, or a service that stays running long term.
Choose from M4 and M4 Pro configurations for Xcode builds, macOS automation, media processing, and MLX inference.
Once your order is confirmed, it is assigned to a specific physical device with defined chip, unified memory, and SSD capacity—not a shared virtual machine pool.
Connect to the macOS desktop or a secure shell using the details provided at delivery. You manage access credentials, keys, and team permissions.
Rent by the day, week, month, or quarter for one-off troubleshooting, release sprints, continuous integration, or always-on inference services.
The model, quantization, context length, concurrency, and resource usage reflect actual runtime settings. Check the configuration and limits before load testing the API and assessing capacity.
Figures are illustrative and show what to monitor. Actual usage depends on the model, context, concurrency, quantization, and request length. Load-test with your target workload.
Choose a model, region, and rental term. The system then confirms payment, assigns a physical node, checks the system, and provides connection details. Availability is confirmed in real time by the console.
Select ArmMesh M4 or ArmMesh M4 Pro, then choose Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, the US East Coast, or the US West Coast.
Pay with USDT-TRC20, or pay in USD by Visa, Mastercard, or Amex through Stripe.
The system assigns a physical node and verifies the ordered model, memory, storage, system status, and remote access service.
The console shows the node address, access credentials, and first-connection checklist. Update your credentials and configure your keys as soon as you sign in.
Both models are available in all six regions. When choosing, consider your team's location, code repository, artifact storage, and end users—and test network performance from your own environment.
For access across East Asia, Northeast Asia, and Southeast Asia
A good fit for Southeast Asian teams, regional artifact repositories, and API services for nearby markets.
A good fit for local development in Japan, interactive Xcode work, and MLX services accessed across Asia.
A good fit for teams in South Korea, mobile app builds, and collaboration across Northeast Asia.
A good fit for collaboration across South China and Southeast Asia, code synchronization, and cross-region build scheduling.
For access across North America and transatlantic routes
A good fit for East Coast teams, collaborators in Western Europe, and builds near East Coast artifact storage.
A good fit for West Coast teams, mobile release pipelines, and handoffs across the Pacific.
Regions are generally available to order. Check the console for current availability and order status.
To decide whether renting is a fit, check memory needs, parallel workload size, interactive latency, data location, and usage period—not just feature labels.
Check out your code, isolate Node and Ruby dependencies, import signing materials, verify Xcode and command-line tool versions, then run tests, archive, and upload the build artifacts.
Install a self-hosted runner, plan working directories and cache cleanup, cap concurrency, and retain logs for retries and handoffs across time zones.
Isolate your Python environment, place model files, choose quantization, launch the API, then test concurrency, monitor unified memory, and verify process restarts.
Sync source files, batch-export with macOS encoding tools, verify resolution, audio tracks, and file checksums, then upload the finished files to your team's artifact repository.
All prices are in USD. Both plans provide a dedicated physical Mac, not a virtual machine, and are available by the day, week, month, or quarter. See the plan page for full-term pricing and add-ons.
Ideal for mobile app builds, automated testing, remote development, and small to medium MLX workloads.
Ideal for higher-concurrency builds, larger models, long-context inference, and always-on MLX APIs.
A physical node is valuable not just for its performance, but also for its consistent environment, verifiable configuration, and ability to pass work between team members without rebuilding the machine.
After the team in Asia finishes the day's builds, colleagues in the US can pick up failed jobs using the same Xcode, signing, and cache setup. They can continue from the logs instead of reconfiguring a machine.Infrastructure lead · Distributed product team
With runners, dependency caches, and build directories fixed, it's easier to compare failures. We can tell whether the issue is code, dependencies, or an environment change—instead of guessing about the machine every time.CI platform engineer · Mobile app team
For always-on MLX services, we track model versions, unified memory headroom, concurrency, and restart outcomes. A dedicated node keeps those metrics tied to the same physical resources.Machine learning engineer · Inference research team
Articles focus on reproducible steps, limitations, and checklists. Recent posts will appear here as they’re published.
Fix the web input locally, then test both directions of a WKWebView bridge and its handler lifecycle on a simulator.
DevOps & CI/CDUse per-run identifiers and bounded search polling to verify Core Spotlight indexing, discoverability, and removal.
DevOps & CI/CDSeparate shared-data checks from deterministic timeline tests, then verify the widget’s final display in a simulator.
New articles are in the works. In the meantime, browse the blog.
Your order confirmation shows the selected model, region, rental term, and add-ons. Manage nodes, invoices, and support requests in the console after ordering.
No. Each customer gets a dedicated physical Apple Silicon Mac with its chip, memory, and local storage listed in the order. Resources are not shared with other tenants.
Choosing a configuration takes about 45 seconds, payment about 1 minute, automated assignment and system checks about 2 minutes, and delivery of connection details about 15 seconds—about 4 minutes total. Check the console for the actual status.
The current catalog covers Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, the US East Coast, and the US West Coast. Both ArmMesh M4 and ArmMesh M4 Pro are available in all six regions.
All orders are billed in US dollars (USD). We accept USDT-TRC20 and Visa, Mastercard, or Amex through Stripe. Available payment gateways are confirmed by the backend.
All nodes run 365 days a year. Keep backups of your code, models, build artifacts, and configuration for critical projects.
We accept USDT-TRC20 and Visa, Mastercard, or Amex through Stripe. Once payment is confirmed, the system assigns a physical node, runs basic checks, and provides connection details in the console.
Choose a model, region, and rental term. Delivery starts automatically once payment is confirmed. Starting rates are $19.5/day for ArmMesh M4 and $61.3/day.