OpsVM M4 Core
Ideal for personal projects, remote Xcode builds, single-branch testing, and low-concurrency automation.
- Daily
- $21.1/day
- Weekly
- $56.9/week
- Monthly
- $105.3/month
- Quarterly
- $286.4/quarter
All three plans are Apple Silicon Cloud Macs on dedicated physical servers. Each order provides one physical node with CPU, memory, and local storage reserved for you—not shared with other users and not virtualized. Rent by the day, week, month, or quarter; each term has its own price.
Daily, weekly, monthly, and quarterly prices are independent—do not derive one from another. Every plan can be deployed in Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, the US East Coast, or the US West Coast. Availability is confirmed in real time by the console.
Ideal for personal projects, remote Xcode builds, single-branch testing, and low-concurrency automation.
Built for everyday development, multi-repository dependency installation, parallel testing, and continuously running team builds.
Designed for local model inference, large projects, concurrent workloads, media processing, and high-load release pipelines.
The same chip generation does not mean the same workload. Focus on peak memory, concurrent tasks, dependency and artifact usage, and whether the workload must run reliably for extended periods.
Typical tasks include cloning one main repository, installing dependencies, running one test suite, creating an Xcode Archive, or compiling from the command line over SSH. With few simulators, test processes, and build queues running at once, 16GB of memory is usually the most cost-controlled option.
Ideal for running dependency installation, tests, artifact exports, and graphical remote sessions in parallel on one node. 24GB leaves more concurrent capacity for Xcode, browsers, CLI tools, and background builds, while a 512GB SSD is better suited to multiple dependency caches.
For large-model inference requiring 64GB of memory, full builds of large codebases, parallel test queues, video encoding, or continuous artifact processing. The 2TB local SSD reduces frequent cache and temporary-file cleanup, but still leave room for logs, temporary files, and exported artifacts.
Confirm that RAM and SSD can handle peak load before selecting a term. All three plans cover the six listed locations; the console confirms availability in real time during checkout.
| Plan | Chip | RAM | SSD | Best for | Daily | Weekly | Monthly | Quarterly |
|---|---|---|---|---|---|---|---|---|
| OpsVM M4 Core | M4 | 16GB | 256GB | Single-project development, light Xcode builds, one test suite | $21.1/day | $56.9/week | $105.3/month | $286.4/quarter |
| OpsVM M4 Plus | M4 | 24GB | 512GB | Everyday development, multi-repository dependencies, parallel testing, and CI | $39.6/day | $106.9/week | $197.9/month | $538.3/quarter |
| OpsVM M4 Pro | M4 Pro | 64GB | 2TB | Large-model inference, large projects, media processing, and high-load pipelines | $61.3/day | $165.4/week | $306.3/month | $833.1/quarter |
“Available” means the plan-location combination is normally offered. Actual availability is confirmed in real time by the console.
| Plan | Singapore | Japan (Tokyo) | South Korea (Seoul) | Hong Kong | US East Coast | US West Coast |
|---|---|---|---|---|---|---|
| OpsVM M4 Core | Available | Available | Available | Available | Available | Available |
| OpsVM M4 Plus | Available | Available | Available | Available | Available | Available |
| OpsVM M4 Pro | Available | Available | Available | Available | Available | Available |
Add-ons are priced separately for dependency caches, build artifacts, local datasets, or multi-node workflows. Estimate peak usage first, then reserve space for logs, temporary files, and exported artifacts.
| Add-on | Use case | Daily | Weekly | Monthly | Quarterly |
|---|---|---|---|---|---|
| +1TB SSD | Adds room for dependency caches, build intermediates, and retained artifacts | $2.9/day | $7.7/week | $14.3/month | $38.9/quarter |
| +2TB SSD | For large datasets, media assets, and long-term build caches | $5.8/day | $15.4/week | $28.6/month | $77.8/quarter |
| Thunderbolt 5 multi-node (per host) | For multi-host workloads that support this connection; priced per physical node | $1.5/day | $4/week | $7.4/month | $20.1/quarter |
Code repositories are rarely the main source of usage. Dependency directories, derived data, archives, simulator data, and logs may grow at the same time, so check the actual peak after a test build.
Manage re-downloadable dependencies separately from artifacts that must be retained. For longer terms, cleanup rules are a better way to keep the environment consistent than continually adding storage.
Single-host tasks do not need the multi-node add-on. Check the connection method and per-host cost only after your build, inference, or data-processing workflow has been split across multiple physical nodes.
If you cannot answer two of these yet, validate with a short term first. Recording peak memory, peak disk usage, and duration for a complete build is more reliable than judging by project size alone.
Distinguish graphical development, CLI builds, continuous integration, local model inference, and media processing. The primary use case determines chip and memory priorities.
Count simultaneous Xcode tasks, test processes, repositories, and remote sessions; do not look only at average resource usage for one compilation.
Narrow the options based on team location, repositories, artifact storage, and target markets, then run latency tests from the actual office network.
Count source code, dependency caches, derived data, logs, simulator data, and exported artifacts together, and reserve space for cleanup operations.
Use daily billing for short-term troubleshooting, weekly billing for phased projects, and monthly or quarterly billing for ongoing development. Each term uses its corresponding fixed price.
For CLI work, verify SSH first. For the Xcode graphical interface, also prepare a graphical remote client and confirm resolution and network conditions.
List the host term and SSD or Thunderbolt 5 multi-node add-ons separately, then confirm the total and payment method before creating the order.
Filter by team location first, then consider routes to repositories, dependency sources, artifact storage, and release targets. Retest latency from the real office network during actual CI hours.
Suitable for Southeast Asian teams and regional collaboration. If repositories and artifacts are also in Asia, include it in your initial tests.
Suitable for development access from Japan and East Asia, as well as build and release workflows targeting the Japanese market.
Suitable for teams in South Korea and Northeast Asia. Test both interactive sessions and dependency-download routes before choosing.
Suitable for cross-border collaboration across South China and Southeast Asia; retest repository access and graphical remote sessions.
Suitable for teams in eastern North America and Western Europe, plus workloads near relevant artifact and release services.
Suitable for teams on North America's West Coast and build routes targeting the US West Coast. Do not treat the US West Coast as multiple separate locations.
First test interactive latency from your network to the location; next check the route from the location to your repositories and artifact storage; then repeat during target working hours. Finally combine the results with the configuration and term before creating the order. Until testing is complete, do not substitute geographic distance for network results.
All hosts, terms, and add-ons are billed in USD. Only USDT-TRC20 and Visa / Mastercard / Amex (via Stripe) are supported; the console confirms the gateways available for your order.
Pay for your USD order using the details shown on the checkout page, and verify the network and amount before submitting.
Visa / Mastercard / Amex are supported. Payment results and order status are confirmed by the console.
Choose one of three plans, one of six locations, a rental term, and any add-ons. If you are still comparing, complete a short-term validation using the getting-started workflow first.