About VMMini

Turn Short-Term Mac Compute into a Clearly Defined Physical Node

VMMini provides dedicated physical Mac machines in the cloud. Each order maps to one Apple Silicon physical node for MLX inference, Mac AI deployment, iOS/macOS builds, and remote automation—not a virtual machine carved from shared resources.

We list only the VMMini M4 configuration actually available for purchase across four locations: Singapore, Japan (Tokyo), South Korea (Seoul), and Hong Kong. Specs, term pricing, and catalog scope stay consistent across the public site and console.

VMMini Physical Node
Catalog Configuration
M4 / 16GB / 256GB
Operating Model
Dedicated physical machine, not a virtual machine
Billing Terms
Daily, weekly, monthly, or quarterly
Service Target
99.9%
Why We Focus on This Service

Your equipment should serve the task—not become a long-term operations project

Short inference experiments, release pushes, and build spikes often last only days or weeks, while buying equipment turns procurement, provisioning, networking, remote access, system updates, and troubleshooting into ongoing work. VMMini brings these infrastructure tasks into a cloud Mac service with flexible rental terms.

01

Define the task first, then choose the rental term

MLX inference validation may take days, release-period build queues may span a week, and continuous integration runners often run monthly or quarterly. Choose a term that matches the task instead of keeping idle equipment for a short-term spike.

02

Document the physical resource boundary before ordering

Before selecting a node, verify the chip, memory, storage, term pricing, and add-ons. VMMini M4 is fixed at M4, 16GB RAM, and 256GB SSD, with no vague tier names hiding the actual specs.

03

Plan the exit alongside the deployment

Before work begins, decide how artifacts will be exported, how long logs will be retained, when keys will be revoked, and how data will be removed. This keeps the wrap-up from becoming a last-minute recovery effort when using a cloud Mac by the day or week.

Product Principles

Four Things Must Be Clear Before You Create an Order

Engineering teams evaluate infrastructure services using verifiable information. We use a fixed catalog to align the site, console, and support process instead of replacing facts with vague packaging.

Clear Specifications

The only available configuration is VMMini M4: M4, 16GB RAM, and 256GB SSD. Extra storage or Thunderbolt 5 clustering is priced separately and is not included in the base specs.

Complete Node Coverage

The catalog covers four locations: Singapore, Japan (Tokyo), South Korea (Seoul), and Hong Kong. Choose based on your team’s location, code source, and user access path—not just the city name.

Consistent Pricing

The base configuration is strictly $20.5/day, $55.4/week, $102.6/month, and $279.1/quarter. Term pricing shown on the site must match the order catalog, with all amounts denominated and settled in USD.

Verifiable Status

The listed machine and location combinations are generally available to order; actual availability is determined by the real-time status returned by the console. Node events, order records, and support actions should be traceable to a specific time and order ID.

Clear boundary: Shared compute resources are never presented as dedicated physical nodes. Node hardware, external network paths, and the user’s own software are separate layers and must be checked separately during troubleshooting.
Who It’s For

Resources for engineering work that requires a real macOS execution environment

Different teams using the same cloud Mac have different priorities. We describe the inputs, operating model, and artifacts to take away for each workload instead of reducing every need to “remote development.”

iOS / macOS Development BUILD

Move build spikes off personal workstations

Developers typically need a fixed Xcode toolchain, reliable dependency caches, traceable archived artifacts, and reproducible failure logs. The challenge is not a single compile, but local-device contention, environment drift, and scattered artifacts during release periods.

Inputs
Code, lockfiles, build configuration, and controlled credentials
Runtime
Command-line builds, tests, archives, and log retention
Artifacts
Archive files, test reports, symbol files, and build records
CI/CD Teams QUEUE

Give self-hosted runners clear resource ownership

Continuous integration teams care about queue throughput, project isolation, cache cleanup, runner revocation, and failure retries. Shared environments can spread cache contamination and permission issues across projects; a dedicated physical node makes it easier to establish a per-machine operating baseline.

Inputs
Runner registration details, repository permissions, and job labels
Runtime
Isolated working directories, limited concurrency, and temporary-file cleanup
Artifacts
Pipeline logs, test results, packages, and verification details
AI Experimenters MLX

Reproduce experiments and deploy services on Apple Silicon

MLX inference and Mac AI deployment require attention to model files, memory usage, service listening addresses, health checks, and log collection. Common operational costs come from oversized model caches, excessive port exposure, and missing cleanup plans after experiments end.

Inputs
Models, inference scripts, dependency versions, and test samples
Runtime
Local listeners, health checks, resource monitoring, and batch jobs
Artifacts
Response results, performance logs, model configuration, and reproduction notes
Service Target

A 99.9% service target, verified against order records and time windows

All nodes operate normally 365 days a year. The service target measures node service availability, while excluding external network paths, errors in the user’s own software, and uncontrollable events from hardware-node conclusions.

99.9% Target service availability
  • The measurement window, availability definition, and claim process are governed by the Terms of Service.
  • Verification materials include the order ID, node, occurrence time, connection tests, and redacted logs.
  • Any credit is determined by the availability criteria, exclusions, and review outcome specified in the Terms of Service.
90-day observation window Each short cell represents one calendar day
Target coverage day
01–10
11–20
21–30
31–40
41–50
51–60
61–70
71–80
81–90

This dashboard illustrates the measurement structure and target criteria; it does not replace order-level event records. Specific node status and associated times are based on information returned by the console.

Node Operations Boundaries

Four Available Locations, Three Layers to Evaluate Separately

A node city determines the physical deployment location but cannot predict every user’s access experience. Before ordering, test node availability, the actual network path, and the workload’s own status as three separate layers.

SGSingapore

For teams and workloads in Southeast Asia. Start by testing the team’s egress, code source, and target-user networks separately.

Choose Singapore Node
JPJapan (Tokyo)

For access paths in Japan and East Asia. Check the office network, automation platform, and dependency download paths together.

Choose Tokyo Node
KRSouth Korea (Seoul)

For tasks in South Korea and Northeast Asia. CI teams should evaluate the actual path from the runner to the code source.

Choose Seoul Node
HKHong Kong

For access needs across southern China and Southeast Asia. Distributed teams should collect connection results from each office network separately.

Choose Hong Kong Node
Troubleshooting Boundaries for Nodes, Networks, and User Software
Layer Check First Record Next Step
Node Availability Whether the host responds, the system has started, and the order status is normal Order ID, node, occurrence time, and connection result Verify the status in the console; submit a linked support ticket if abnormal
Network Path Local egress, carrier routing, code source, and target-service path Source network, destination address, continuous test results, and route information Retest from another source network to distinguish a single-path issue from a node issue
User Software Processes, ports, permissions, dependencies, disk, and task logs Reproduction steps, versions, redacted logs, and recent changes Roll back recent changes first, then restore each task layer step by step
Security and Access Responsibilities

Dedicated hardware does not eliminate the need for access control

A physical node reduces shared-resource exposure, but code, credentials, service ports, logs, and exported data remain under the user’s control. Security practices should cover the start, runtime, and end of every task.

Prepare

Apply least-privilege access

Grant only the permissions required by task owners and automation processes. Store project credentials separately from personal access information, and never place private keys directly in repositories, build scripts, or image layers.

  • Maintain an access inventory for people, runners, and service processes
  • Open only the ports actually used by the workload
  • Assign an owner and procedure for revoking access
Operate

Rotate keys and share logs safely

Rotate access keys for long-running tasks according to team policy. Before sharing logs for troubleshooting, remove tokens, private keys, environment variable values, and personally identifiable information, then attach the redacted logs to the support request.

  • Record key creation, scope of use, and revocation status
  • Limit log access permissions and retention periods
  • Preserve a timeline during incidents instead of copying the entire environment
Finish

Clean up data after exporting artifacts

Before the order ends, confirm that build artifacts, model configuration, test results, and required logs have been exported. Then revoke the runner, delete temporary credentials, clear model and build caches, and verify that automation no longer targets the node.

  • Verify artifact integrity and checksum details
  • Revoke project access and machine associations
  • Record cleanup results and outstanding items

Responsibility boundary:VMMini is responsible for the physical node service associated with the order and console records; the user is responsible for their own code, access credentials, software configuration, open ports, workload content, and data export arrangements.

Transparent Updates

Changes to facts should have a traceable source and remain consistent across languages

Configuration, pricing, the node catalog, service status, and policies affect procurement and operations. Relevant changes are published through clear channels so one page, language version, or console does not retain outdated information.

CATALOGProduct Catalog

Machine specs, location coverage, term pricing, and add-ons enter the official catalog first, then sync to plan pages, checkout, and help content. Combinations outside the catalog are not shown as unavailable options.

Verify Plan Catalog
GUIDEOperating Guides

Connection steps, MLX service checks, CI troubleshooting, and data-export methods are maintained in the Help Center. Operational changes should also explain the applicable scenarios and steps that require revalidation.

Open Help Center
ORDEROrder Records

The console links each order’s node, term, payment, events, and support records. For issues involving an existing order, submit them through the console first to reduce repeated explanations.

Open Console
POLICYPolicies and Terms

Rules covering data processing, service targets, usage responsibilities, and dispute handling are set out separately in the Privacy Policy and Terms of Service. Changes affecting user rights or responsibilities update the relevant text.

Multilingual Consistency Check

Machine specs, the four-location catalog, pricing figures, payment methods, service targets, and contact channels are key facts. Updates use the same source across languages and never change product boundaries by locale.

Next Steps

Make a Deployment Decision Based on the Task, Location, and Term

Confirm the required runtime, code-source location, storage capacity, and exit plan, then choose daily, weekly, monthly, or quarterly use. Orders are settled in USD.