BookaMac provides remotely accessible dedicated physical machines for iOS/macOS developers, CI/CD teams, AI experimenters, and audio/video workflows. Every order maps to a defined configuration and region—never shared virtual resources instead of real hardware.
Two available configurations cover M4 and M4 Pro, across four node regions: Singapore, Tokyo, Seoul, and Hong Kong. Orders, renewals, and status updates are managed in one console.
BookaMac starts with a simple idea: when developers temporarily need a Mac that stays online and can be accessed remotely, they should not have to purchase hardware, find a place for it, and manage networking and remote access themselves. Users choose a configuration and region for their work period, then receive usage rights to the corresponding physical node after creating an order.
We define the service as a cloud Mac, but delivery is always a dedicated physical Mac mini. It is neither a shared compute pool nor a resource specification that packages macOS into a general-purpose virtual machine. This distinction affects build environments, device occupancy, troubleshooting, and data migration, so it should be clear before purchase.
The catalog stays focused, offering only two configurations that can be compared directly. BookaMac M4 includes M4, 16GB memory, and a 256GB SSD; The Pro configuration includes M4 Pro, 64GB memory, and a 2TB SSD. Choose based on workload size without guessing between near-identical hardware names.
BookaMac does not replace everyone’s local computer. It is better suited to moving time-consuming, repetitive, remotely accessed, or device-intensive tasks to a dedicated node.
Move Xcode builds, dependency installation, automated tests, and pre-release checks off your everyday laptop. Keep interactive coding local while handing long-running tasks to a cloud Mac that stays online.
Register a self-hosted runner and place build tasks, cache directories, and concurrency policies on a trackable physical node. Treat the node as a pipeline resource instead of relying on a team member’s computer staying online.
Run local model inference, batch evaluations, and long-running data processing. Before choosing a configuration, check model size, peak memory, and disk usage to determine whether M4 or M4 Pro fits the workload.
Run batch transcoding, automated rendering, and media-processing regression tests. A dedicated node keeps tool versions, asset paths, and output rules consistent while freeing personal computers from long-running jobs.
We describe the service using configuration fields, pricing terms, the node catalog, and order status—not vague tier names that obscure what users actually need to compare.
Chip, memory, storage, and all four billing terms are shown separately. The entry price starts at $21.5/day for BookaMac M4; verify full daily, weekly, monthly, and quarterly pricing on the plan page.
The catalog includes only Singapore, Tokyo, Seoul, and Hong Kong. Both configurations are available in all four regions; cities outside the catalog are not presented as bookable nodes.
Order confirmations, node details, renewals, and support records appear in one console. Actual availability is returned live by the console; static pages do not promise delivery times or uptime rates.
We use cloud Mac, physical node, dedicated physical machine, and non-virtualized Mac to describe the product. Accurate naming helps users understand isolation and migration responsibilities.
BookaMac M4: M4, 16GB, 256GB. Pro configuration: M4 Pro, 64GB, 2TB. Models, prices, and regions on the site are based on this catalog.
Check full pricingPayments are supported only via USDT-TRC20 and Visa, Mastercard, or Amex through Stripe. The console determines which gateways are currently available.
View the service termsDo not choose a region by city name alone. Consider where primary operators are located, the direction of code and asset transfers, and the region of your automation platform, then confirm the route with real connection tests.
Suitable for teams whose primary members are in Southeast Asia or whose workflows connect to code, artifacts, and automation services in the region.
Suitable for teams whose primary developers are in Japan or East Asia and who want everyday builds and remote graphical operations on a nearby network path.
Suitable for teams in Korea or Northeast Asia planning to deploy CI runners, build caches, and long-running tasks on a regional node.
Suitable for teams whose primary members are in Southern China or Southeast Asia, or that need to transfer repositories, assets, and build artifacts between the two regions.
When team members are spread across regions, prioritize the side with more frequent build activity and large-file transfers. If remote graphical operations are common, factor interactive latency into the final decision.
These first-person statements summarize typical use cases. They illustrate the role of a dedicated node in a workflow; they are not ratings or substitutes for validating the actual configuration.
After moving overnight builds off my laptop, I no longer compete for the machine during the day. Failed-job logs stay in a fixed directory, so I can pick up troubleshooting the next morning.
The runner no longer depends on whether a colleague’s computer is online. Labels, working directories, and concurrency limits are all defined in pipeline rules, so handoffs make it clear which node runs each job.
After moving batch transcoding to a remote node, my local computer only handles spot checks. Inputs, caches, outputs, and failure logs are stored separately, and tool versions no longer interfere with my everyday development environment.
BookaMac’s visual system starts with the node scheduling job record. Fields, status tags, routes, and device relationships represent the configuration, region, and delivery details to verify before ordering.
Orange marks actions and delivery milestones, such as ordering, confirmation, and workflow progress. Ice cyan represents clear, readable status surfaces for configurations and explanations. Deep teal represents the underlying environment where physical nodes stay online, as well as the primary backdrop for terminal records and long-running tasks.
The node star map is not a decorative claim of global coverage. It shows only remote connections among the four available regions: Singapore, Tokyo, Seoul, and Hong Kong. Cities outside the catalog are not drawn as bookable nodes.
Used for ordering, delivery confirmation, route origins, and actions requiring immediate attention.
Used for configuration fields, information panels, and runtime details that need to be read quickly.
Used for physical nodes that stay online, terminal output, and the foundational runtime layer.
Used to represent region selection, remote connections, and task flows between teams and physical nodes.
Clearly separating responsibilities reduces post-delivery misunderstandings and helps support requests reach the right troubleshooting path faster.
Users decide what runs on the node and are responsible for the security, authorization, and compliance of their workloads. Before migration, clarify data sources, dependency licenses, and the exit plan.
BookaMac delivers the dedicated physical node specified by the confirmed order and provides support related to basic connectivity, order information, and node use.
Do not send private keys, complete credentials, or unnecessary sensitive data in tickets or email. For connection issues, first check your local network, host key fingerprint, and verbose SSH output as described in the support documentation.
Choose the configuration that fits your workload—BookaMac M4 or BookaMac M4 Pro—and select a node region in Singapore, Tokyo, Seoul, or Hong Kong. All prices are charged in USD.