The future of Mac infrastructure

The Mac you need,
in the cloud.

Run macOS at scale — for CI/CD pipelines, AI workloads, iOS development, and everything in between. No hardware. No headaches. Just mac.

Join thousands of developers on the waitlist. No spam, ever.

Trusted by teams building with
Xcode
GitHub Actions
Fastlane
Core ML
Homebrew
Why Virtual Macs

Mac is the platform.
The cloud is the machine.

macOS is the only OS with Xcode, Apple Silicon's Neural Engine, iOS simulators, and the entire Apple developer ecosystem. Now it's available on demand, at any scale.

🚀

CI/CD Runners

Spin up ephemeral macOS runners for every pull request. Fast boot, clean state, instant teardown. Never share build state again.

🧑‍💻

Dev Environments

Onboard in minutes, not days. Give every engineer an identical, configured macOS dev environment — accessible from any device.

📱

iOS & macOS Builds

Compile, sign, and distribute apps without a single Mac on-premise. TestFlight uploads, App Store submissions — all automated.

🤖

AI & ML Workloads

Run Core ML, Create ML, and on-device AI pipelines at scale. Apple Silicon's Neural Engine is no longer locked to your desk.

Built for builders

Every workflow.
One platform.

CI/CD

Parallel builds, zero wait time

Queue a hundred macOS runner jobs simultaneously. VirtualMacs provisions, builds, tests, and tears down — automatically. Your team ships faster without fighting over a shared Mac mini.


Works natively with GitHub Actions, GitLab CI, Bitrise, and Buildkite.

# .github/workflows/ios.yml
runs-on: virtualmacs-m3-latest
steps:
  - uses: actions/checkout@v4
  - name: Build & Test
    run: xcodebuild test
      -scheme MyApp
      -destination 'platform=iOS'
# ✓ Runs on real macOS, every time
AI Development

Build AI apps that run on Apple hardware

Test Core ML model inference, run LLMs with llama.cpp optimized for Metal, and validate on-device AI behavior — all in the cloud, at scale.

Dev Environments

macOS for your whole team, everywhere

Your new hire in Berlin gets the same macOS dev environment as your senior engineer in San Francisco — pre-configured, ready in minutes, accessible from any browser.

Automation

Automate anything macOS-only

Safari automation, Instruments profiling, Xcode bots, Simulator fleets — if it runs on macOS, it runs on VirtualMacs.

Compliance

Isolated, auditable environments

Every virtual Mac is ephemeral and isolated. SOC 2, HIPAA-ready configurations available. Full audit logs for every session and build.

~80%
Faster CI pipeline vs. shared Mac hardware
0 min
Time to provision a fresh macOS instance
100%
Clean, reproducible build environments
Choose your silicon

Intel or Apple Silicon.
Both have a place.

We believe in giving you the right tool for the job. Intel Macs still have a compelling role — and Apple Silicon raises the ceiling for everything else.

Intel Architecture

Intel Virtual Macs

The workhorse. Proven, compatible, and still remarkably capable for the right workloads.

  • ✓Run x86 legacy builds and older toolchains without translation overhead
  • ✓Ideal for maintaining legacy apps, older SDKs, and pre-M1 target testing
  • ✓Wide software compatibility for x86-native apps and drivers
  • ✓Cost-effective for high-concurrency x86 CI pipelines
  • ✓Supports macOS Monterey, Ventura, and Sonoma for broad SDK testing
  • ✓Familiar environment for teams migrating from Intel Mac Pro workflows

Best for

Legacy iOS Apps x86 Toolchains Cost Optimization Regression Testing Older SDKs
Apple Silicon

Apple Silicon Macs

A generational leap. Radically faster, more power-efficient, and built for AI.

  • ✓Neural Engine accelerates Core ML inference — up to 15× faster than Intel for on-device AI
  • ✓Xcode compile times cut in half or more for modern Swift/Obj-C codebases
  • ✓Unified memory means more RAM-intensive builds complete without swapping
  • ✓Run iOS Simulators faster with native ARM — closer to real device behavior
  • ✓llama.cpp, Whisper, and Metal-optimized AI runtimes run orders of magnitude faster
  • ✓Required for Apple Intelligence, Vision Pro, and DriverKit development

Best for

AI / ML Workloads Fast CI Builds visionOS Dev On-device LLMs Modern Swift
CapabilityIntel MacApple Silicon
Core ML inference speedGoodExceptional ✦
x86 legacy app supportNative ✦Via Rosetta 2
Xcode build timeBaseline2–3× Faster ✦
iOS Simulator fidelityGoodNear-native ✦
On-device LLM (Metal)LimitedExcellent ✦
Legacy SDK compatibilityBest ✦Good
Cost per build minuteLower ✦Standard
visionOS / Vision Pro devNoYes ✦
Unified memory efficiencyStandardDramatically better ✦
AI on Apple Silicon

The AI revolution
runs on Apple hardware.

Apple Silicon is the most capable edge AI chip on the market. Run your models at scale, in the cloud, without shipping hardware to a data center.

01

Local LLMs at cloud scale

Run Mistral, LLaMA 3, Phi-3, and Gemma with llama.cpp or Ollama — fully Metal-accelerated. Test model behavior on real Apple hardware without owning a single Mac Studio.

02

Core ML pipelines

Convert, optimize, and test Core ML models at scale. Validate inference latency across M1, M2, and M3 generations from a single API call.

03

Apple Intelligence compatibility

As Apple Intelligence rolls out, testing your app's integration requires Apple Silicon. VirtualMacs gives your entire team and CI system access to that stack — on demand.

04

Whisper, Stable Diffusion & more

Open source AI models optimized for Metal run dramatically faster on Apple Silicon. Benchmark, tune, and ship these workloads at any scale.

"macOS isn't just a developer preference — it's the only platform for the entire Apple ecosystem. We just made it available wherever your code lives."

— The VirtualMacs Team

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Build without limits.

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