OVPS offers exactly 3 Apple Silicon Cloud Mac tiers. Every order includes one dedicated physical machine with no shared compute resources and no virtual machine layer. Rent by the day, week, month or quarter, with all charges billed in USD.
For short tasks, start with daily and weekly rates; for a stable development environment, compare monthly and quarterly rates. The term changes only the rental period and price, not the hardware in that tier.
M4 · 16GB memory · 256GB SSD
Ideal for single-project maintenance, dependency checks, script execution and low-concurrency Xcode builds.
Choose Office M4 StartM4 · 24GB memory · 512GB SSD
Ideal for ongoing development, parallel testing, self-hosted runners and larger project caches.
Choose Office M4 BuildM4 Pro · 64GB memory · 2TB SSD
Ideal for local LLM inference, multitask pipelines, video batch processing and large working sets.
Choose Office M4 Pro LabAll three tiers deliver dedicated Apple Silicon physical nodes. Network connection details, remote access information and host fingerprints are provided with the order, so there is no need to infer actual resources from shared VM specifications.
| Specification | Office M4 Start | Office M4 Build | Office M4 Pro Lab |
|---|---|---|---|
| Chip | M4 | M4 | M4 Pro |
| Unified memory | 16GB | 24GB | 64GB |
| Internal storage | 256GB SSD | 512GB SSD | 2TB SSD |
| Network | Dedicated physical node network | Dedicated physical node network | Dedicated physical node network |
| Delivery type | Dedicated physical machine, not a VM | Dedicated physical machine, not a VM | Dedicated physical machine, not a VM |
| Available expansions | +1TB SSD, +2TB SSD, Thunderbolt 5 expansion | +1TB SSD, +2TB SSD, Thunderbolt 5 expansion | +1TB SSD, +2TB SSD, Thunderbolt 5 expansion |
Only the 3 tiers listed above are available. Additional SSD storage is an order add-on and does not create a new configuration tier; actual availability is determined by the live console response.
Confirm peak working-set size, parallel task count and local cache volume before deciding whether to add memory or storage. The guidance below defines selection boundaries and does not promise fixed performance numbers outside your project environment.
For maintaining a single Xcode project, running command-line tools, validating dependencies or executing one-off automation tasks. 16GB memory suits workflows with low concurrency and clearly bounded caches.
Upgrade signal:You frequently run multiple simulator tasks at once, or caches and build artifacts keep squeezing the 256GB storage.
For a stable development environment, parallel testing and self-hosted runners. 24GB memory and a 512GB SSD provide balanced space for code, dependencies, caches and build artifacts.
Upgrade signal:A large working set occupies unified memory for long periods, or inference, encoding and build tasks must run simultaneously.
For local LLM inference, video encoding, batch processing and highly concurrent pipelines. 64GB unified memory and a 2TB SSD are designed for larger models, media assets and intermediate results.
Check before choosing:Record actual model or asset usage, concurrent task count and cache growth rate instead of judging by the project name alone.
Choose the host first, then add options based on data volume and expansion count. Every add-on has daily, weekly, monthly and quarterly prices, listed separately on the bill.
Ideal for additional dependency caches, test data, build archives and medium-sized media storage.
Ideal for larger model files, video assets, long-term build caches and multi-project working directories.
For device setups that require expansion in the order. Quantities are verified per device, with each device billed separately for the selected term.
This example uses a monthly Office M4 Build rental, +1TB SSD and 2 Thunderbolt 5 expansions. The location is listed as an order field and does not add a separate location charge in this example.
When checking an invoice or submitting a ticket, use the order number, location, term and add-on names shown in the console. Never submit passwords, private keys or recovery credentials through a public form.
All three models are available in 6 locations. Consistent latency is affected by local networks, cross-border routing, test times and remote protocols. Retest from your own work network before selecting a long-term location.
Ideal for Southeast Asian teams and development or continuous build workloads coordinating across Asia.
Ideal for local operators in Japan, projects serving Northeast Asia and code collaboration workflows near Tokyo.
Ideal for Korean teams, operators near Seoul and projects requiring regular remote sessions across Northeast Asia.
Ideal for workflows with frequent cross-border collaboration that must accommodate operators and repositories in multiple locations.
Ideal for teams in the eastern US, repositories near the East Coast or workloads that run continuously during US Eastern hours.
Ideal for developers in the western US, Pacific Time collaboration and teams close to services in the US West.
When remote desktop interaction is frequent, first test the location closest to the primary operator.
Record the locations of the code repository, dependency sources and build artifact recipients instead of looking only at straight-line distance.
Test the remote protocol, dependency downloads and artifact uploads during real working hours, then select the order location.
Only USDT-TRC20 and Visa / Mastercard / Amex (via Stripe) are supported, with all charges billed in USD. Actual payment gateway availability and model/location status are determined by the live console response.