3 Plans, 4 Terms

Choose a Cloud Mac Plan for Your Workload

All three plans provide a dedicated physical node, not a virtual machine. Rent by the day, week, month, or quarter for temporary builds, ongoing development, multi-version testing, or MLX inference. Prices are listed in USD with no cross-term conversions or rounding.

Rent a Cloud Mac See How to Start

Plans available: 3 plans
Locations: 4
Starting price: $19.8/day

Configuration summary Choose memory for the workload, then choose the term

PLAN / 03

Light Builds & Short Tasks M4, 16GB memory, 256GB storage

$19.8/day

Daily Development & CI M4, 24GB memory, 512GB storage

$98.8/month

LLM Inference & High-Memory Tasks M4 Pro, 64GB memory, 2TB storage

$820.6/quarter

Pricing at a Glance

Three Plans with Resources Matched to Workload

Start with memory and local storage, then consider the chip. Build caches, simulator tasks, and model weights can consume space at the same time; high-memory plans suit persistent MLX services or larger concurrent workloads. Each card shows the full listed price for its term.

Light Builds

VMCache M4 16

M4 · 16GB · 256GB

$19.8 / day

Daily$19.8
Weekly$53.4
Monthly$98.8
Quarterly$268.7

Suitable for code compilation checks, automation scripts, single-project Xcode tasks, and short compatibility tests.

Choose VMCache M4 16

Daily Development

VMCache M4 24

M4 · 24GB · 512GB

$39.2 / day

Daily$39.2
Weekly$105.9
Monthly$196.1
Quarterly$533.4

Ideal for ongoing development, dependency caches, multi-repository builds, and regular CI/CD workloads with larger working sets.

Choose VMCache M4 24

High-Memory Inference

VMCache M4 Pro 64

M4 Pro · 64GB · 2TB

$60.3 / day

Daily$60.3
Weekly$162.9
Monthly$301.7
Quarterly$820.6

Built for MLX model loading, memory-intensive inference, and parallel builds of large projects.

Choose VMCache M4 Pro 64

Compare Four Rental Terms

Each row represents the same physical-node plan. Terms have separate listed prices; use the table amounts directly when budgeting.

Daily, weekly, monthly, and quarterly prices for three VMCache cloud Mac plans
Plan	Configuration	Daily	Weekly	Monthly	Quarterly
VMCache M4 16	M4 / 16GB / 256GB	$19.8	$53.4	$98.8	$268.7
VMCache M4 24	M4 / 24GB / 512GB	$39.2	$105.9	$196.1	$533.4
VMCache M4 Pro 64	M4 Pro / 64GB / 2TB	$60.3	$162.9	$301.7	$820.6

How to Choose a Configuration

Match Your Working Set to Memory and Storage

The chip is not the only factor. Dependency caches, build artifacts, model weights, concurrent requests, and logs all affect resource needs. Use the comparison below to narrow your options, then verify against peak usage in your actual project.

Workload-to-VMCache plan comparison
Use case	Recommended plan	Hardware basis	Selection guidance
Light builds	VMCache M4 16	M4 / 16GB / 256GB	Smaller projects with manageable dependency caches, focused on one-off builds, scripts, or short tests.
Daily development	VMCache M4 24	M4 / 24GB / 512GB	Keeps a fuller toolchain and cache while running Xcode builds, archives, or multi-repository tasks continuously.
LLM inference	VMCache M4 Pro 64	M4 Pro / 64GB / 2TB	Model weights, runtime processes, and request batches share unified memory, with room needed for logs, caches, and model files.

Delivery Options Compared

The Difference Between Renting, Buying, and Shared Resources Goes Beyond Price

Development teams also consider delivery speed, hardware exclusivity, upgrade paths, and whether they can keep their own toolchain. The comparison below covers delivery models and responsibility boundaries rather than reducing the decision to one cost item.

Comparison of rented cloud Macs, owned hardware, and shared virtual machines
Comparison	Rent a cloud Mac	Buy hardware	Shared virtual machine
Upfront cost	Pay for the selected term without first purchasing a full system or preparing a server room.	Purchase equipment upfront and cover networking, power, space, and ongoing management.	Usually billed by resource package, with hardware resources shared among tenants.
Delivery speed	After the order is completed, delivery begins; the console shows the current status.	Depends on purchasing, shipping, deployment, network setup, and remote-access preparation.	Instances are usually created quickly, but environment and resource boundaries depend on the service model.
Exclusivity	Each rental provides one dedicated physical machine; CPU, memory, and local storage are not shared with other tenants.	The team manages the equipment and has full hardware control, while assuming all maintenance responsibility.	Underlying hardware is shared, and performance may be affected by platform scheduling and other workloads.
Upgrade flexibility	Choose among three models, locations, and storage add-ons for the next term without disposing of old equipment.	Upgrades usually require buying or replacing hardware, then handling migration and idle assets.	Virtual resource sizes can be adjusted within the limits offered by the shared platform.

Add-ons

Storage and Thunderbolt 5 networking are priced separately

Add-ons do not change the base model's chip or memory. Add SSD capacity for more models, build caches, or long-term artifacts; Thunderbolt 5 networking is billed per machine. Each term uses its own listed price.

Storage Expansion

+1TB SSD

Adds local space for model files, dependency caches, archived artifacts, and test data.

Daily: $2.2
Weekly: $6
Monthly: $11.2
Quarterly: $30.5

Storage Expansion

+2TB SSD

For multiple models, large project caches, continuous archiving, and data-heavy workloads over longer terms.

Daily: $4.4
Weekly: $12
Monthly: $22.4
Quarterly: $61

Billed per machine

Thunderbolt 5 Networking

For deployments that require multiple machines to work together. Confirm suitability based on data paths and team orchestration.

Daily: $1.9
Weekly: $5.1
Monthly: $9.5
Quarterly: $25.8

Storage and Memory Are Different Resources

An SSD upgrade adds file capacity but not unified memory. If MLX model loading or concurrent tasks are memory-bound, choose VMCache M4 Pro 64 instead of only adding SSD storage.

Hardware Specification

Fixed Hardware Boundaries for Each Node Plan

These specifications confirm the chip, memory, and base storage for each plan. Network access is provided by the selected location; routes and currently available parameters are shown on the order confirmation page.

NODE / M4-16-256

VMCache M4 16

Chip: M4
Memory: 16GB
Storage: 256GB
Network: Network access at the selected location; parameters shown on the order confirmation page

NODE / M4-24-512

VMCache M4 24

Chip: M4
Memory: 24GB
Storage: 512GB
Network: Network access at the selected location; parameters shown on the order confirmation page

NODE / M4PRO-64-2TB

VMCache M4 Pro 64

Chip: M4 Pro
Memory: 64GB
Storage: 2TB
Network: Network access at the selected location; parameters shown on the order confirmation page

Four Available Locations

Choose a Location by Team Time Zone, Data Path, and Live Availability

Singapore, Japan (Tokyo), South Korea (Seoul), and Hong Kong offer all three plans. Location does not indicate performance; prioritize team overlap, primary data sources, and access paths. Final availability is returned live by the console.

UTC+8

Singapore

Good for Southeast Asian collaboration hours and teams running builds and inference during the UTC+8 workday.

Model catalog: 3 plans
Availability: Live status from the console

Choose Singapore

UTC+9

Japan (Tokyo)

Suited to development collaboration in Japan, Xcode build batches, and continuous testing during Northeast Asian working hours.

Model catalog: 3 plans
Availability: Live status from the console

Choose Tokyo

UTC+9

South Korea (Seoul)

Suited to Korean teams' builds, quality checks, and model services, with logs easy to review during local working hours.

Model catalog: 3 plans
Availability: Live status from the console

Choose Seoul

UTC+8

Hong Kong

Suited to cross-region collaboration, continuous builds, and model deployment for UTC+8 teams, aligned with existing schedules.

Model catalog: 3 plans
Availability: Live status from the console

Choose Hong Kong

Team Collaboration Hours

Choose a location close to the main operators' time zone so they can check connectivity and validate the first task immediately after delivery.

Data Transfer Paths

When models, dependencies, and build artifacts are large, test the target location from the actual network environment rather than using geographic distance as a proxy.

Final Confirmation

Confirm the model-and-location combination in the console. Live availability returned by the page is the final reference before submitting the order.

Payment & Billing

Simple USD Billing with Clear Payment Options

Orders support USDT-TRC20, plus Visa, Mastercard, and Amex through Stripe. All amounts are billed in USD; the live console determines the available gateway. Recheck the model, location, term, and add-ons before submitting.

USDT-TRC20

Pay the USD amount shown on the order page. Before submitting, verify the network type, amount, and order ID to avoid mixing transfer details across networks.

Visa / Mastercard / Amex

Cards are processed by Stripe, while orders remain billed in USD. The available gateway and payment steps are shown by the console.

Configuration Set

Put the Model, Location, and Term in One Order

Choose a configuration from the three dedicated physical-node plans, then select one of four locations, a billing term, and any add-ons. Live availability and the order amount shown before submission are final.

Configure and Order Get Help Choosing