Development and debugging
Pull code, install locked dependencies, run Xcode projects, and record version details and baseline times.
Physical nodes for development workflows
No grand promises—just clear boundaries for cloud Mac hosting.
HopVM is built for developers who need short-term, flexible, or cross-time-zone access to Apple Silicon. Activate a dedicated cloud Mac when your project needs it, then end the rental after building, testing, inference, or media processing is complete.
Our premise is practical: instead of buying hardware ahead of a release peak, migration check, or model experiment, let computing resources follow the project schedule. Choose daily, weekly, monthly, or quarterly terms, with the configuration, location, and cost shown before checkout.
3 tiers
Fixed configurations
6
Available service locations
365 days
Nodes operating normally
Run record
Project resource activation
Resource type
Dedicated physical machine
Virtualization
Not a virtual machine
Workloads
Development / builds / testing / inference
Delivery basis
Selected configuration, term, and location
Billing currency
USD
Choose a configuration
Confirm a location
Start the task
Who it's for
Developers and engineering teams
Service boundaries
One order means one dedicated physical machine—not a shared pool of compute.
HopVM provides cloud Macs for remote use. The device's resources are dedicated to the current order: its CPU, memory, and local storage are not shared with other renters. The service runs on a physical node, not a virtual machine.
Remote access supports macOS graphical interfaces and command-line workflows. Developers can use Xcode, Git, xcodebuild, Fastlane, inference tools, and media-processing software, while each team remains responsible for its project dependencies, scripts, code, keys, and outputs.
We handle device delivery, node connectivity, system access, and hardware status. Project code behavior, third-party tool configuration, dependency compatibility, and business build results must be assessed using reproducible logs rather than broad promises.
Automated builds and testing
Run xcodebuild and Fastlane through a queue, producing archives, exit codes, and redacted logs.
Model inference experiments
Record model size, memory usage, throughput, and execution time before deciding whether a higher configuration is needed.
Media processing
Plan storage for the asset volume, then transcode, render, validate results, and retrieve the finished files.
Editorial principles
Important facts must be verifiable across pages.
We treat product pages as operational records, not advertising copy. Once configurations, locations, prices, and payment terms are set, they remain consistent across the plans, support, connection, and terms pages.
Pricing is visible
Daily, weekly, monthly, and quarterly prices are published for all three machine tiers. Additional storage and Thunderbolt 5 daisy chaining are priced separately, with no essential costs hidden behind vague inquiries.
- Billing
- USD
- Terms
- Day / week / month / quarter
Locations are stated plainly
The available catalog covers six locations: Singapore, Japan (Tokyo), South Korea (Seoul), Hong Kong, the US East Coast, and the US West Coast. We do not split one region into multiple names to create the appearance of scale.
- Total locations
- 6
- Selection criteria
- Measured latency and team time zones
Configurations are not embellished
Only three machines are available: HopVM M4 16, HopVM M4 24, and HopVM M4 Pro 64. We do not add chips, memory, or storage combinations outside the catalog just to fill out the options.
- Total machine tiers
- 3
- Resource type
- Dedicated physical machine
Operating method
Continuity comes from repeated checks—not from simply saying “reliable.”
Every device follows the same recorded process from delivery through release. Nodes operate normally 365 days a year, with a target availability of 99.9%. If the commitment is not met, customers may submit evidence and request compensation under the service terms.
01
Device
Health checks
We check hardware status, system startup, available disk space, and basic access. Exceptions enter the handling process; a single successful login does not replace a complete check.
- Hardware and startup status
- Disk and system time
- Remote access baseline
02
Node
Status records
We retain node connectivity, resolved incidents, and availability information so support staff can match user reports to the relevant time period.
- Incident time and time zone
- Impact scope and node
- Incident resolution
03
Access
Permission controls
Access materials are used only within the scope of the order and authorization. Support requests should not include passwords, complete private keys, payment credentials, or unredacted project source code.
- Minimum necessary permissions
- Controlled team handoffs
- Sensitive-data redaction
04
Delivery
Standardized activation
We verify the machine, term, location, and add-ons against the order before delivering access details. Before ending a rental, users should export necessary outputs and remove temporary credentials.
- Order configuration check
- Access details delivered
- Project closeout cleanup
For users
We communicate around workflows, not industry labels.
The same cloud Mac can support different tasks. What matters is the input, commands, concurrency, outputs, memory usage, and runtime. The four user types below map to four verifiable decision paths.
Validate the environment with one complete build instead of buying hardware first.
Pull from Git, install dependencies, compile with Xcode, test, and archive while recording the smallest task's runtime and disk changes. Enable daily access for short-term fixes, releases, or migration checks.
Primary evidence
Build time, exit code, archive output
Turn build peaks into capacity with clear term boundaries.
Run xcodebuild and Fastlane through a queue, retaining redacted logs and build artifacts. Weekly rentals suit concentrated release periods; monthly or quarterly terms suit stable pipelines that run continuously.
Primary evidence
Queue wait time, concurrent tasks, cache hits
First test whether the model runs reliably within the target memory.
Record model size, peak memory, throughput, and result-export time. Start lightweight validation on an M4 configuration, then choose HopVM M4 Pro 64 for large-memory inference.
Primary evidence
Peak memory, throughput, runtime per execution
Make device handoffs a rule, not a shared set of credentials.
Define controlled access scopes for members, along with project directories, task queues, log retention, and handoff records. Choose locations based on team latency, dependency-source locations, and trigger windows.
Primary evidence
Handoff time, access scope, queue status
Selection logic
Whether renting makes sense depends on whether the project boundary can be measured.
If a task has a clear start time, resource peak, and completion condition, renting a dedicated physical machine is often easier to manage than buying hardware in advance. If equipment must remain permanently on-site at sustained full utilization, purchasing hardware may also be reasonable.
Do not compare only one price. Check delivery speed, idle time, dedicated resources, upgrade flexibility, and the team's operations effort in the same table.
Good reasons to rent first
Short-term builds, release peaks, migration checks, inference experiments
Needs further analysis
Long-term full utilization, permanent on-site use, existing hardware-management capability
The project is already scheduled
Renting removes procurement, shipping, and on-site preparation, making it a better fit for tasks that need to start validation quickly.
The completion condition is clear
Choose daily, weekly, monthly, or quarterly terms, then release the device when the project is complete to reduce idle time outside the project.
The performance baseline must remain stable
Dedicated CPU, memory, and local storage suit reproducible experiments that track build time or inference throughput.
The workload is still changing
Start with a configuration that matches the current input size, then adjust later orders based on memory, disk, and task duration.
Need to compare renting, buying, and shared virtual machines in one table?
The full comparison covers four factors: cost, delivery speed, dedicated resources, and upgrade flexibility.
Transparent commitments
When important facts change, all related pages must be updated together.
HopVM publishes service status, support boundaries, privacy principles, and service terms. Important changes to configurations, locations, prices, payment methods, or processing rules must be synchronized across Simplified Chinese, Traditional Chinese, Japanese, Russian, French, English, Korean, and German.
We do not use fabricated reviews, ratings, user counts, or awards to establish credibility. Users should decide whether to rent by checking the published configurations, clear costs, actual locations, support process, and written rules.
Start with a measurable task
Choose a configuration and location, and let the cloud Mac follow the project schedule.
Three machine tiers and six locations, available for daily, weekly, monthly, or quarterly rental. All orders are billed in USD.