Stop training on Linux simulators. Orchard provides high-density, native macOS environments that reset in seconds. Give your AI eyes and hands on a real computer.
Stop waiting 10 minutes for AWS instances to reboot. Our multi-seat architecture wipes user sessions instantly, accelerating your RL training loops by 100x.
No VNC headaches. We expose a clean HTTP API for vision (60fps MJPEG) and action (mouse/keyboard injection). Compatible with OpenAI, LangChain, and AutoGPT.
Real M-Series hardware. Agents can use Metal-accelerated apps, Xcode, Safari, and Photoshop. No virtualization lag. No "Headless Linux" limitations.
Don't waste compute time installing software. Orchard environments come pre-loaded with the standard toolset for agentic evaluation, authenticated and ready to go.
Need a custom image? Contact us to bake your own tools.
Why leading AI labs are switching from AWS to Orchard.
| Feature | Orchard | AWS Mac Instances | Headless Linux |
|---|---|---|---|
| Time to Reset | 3 Seconds | ~10 Minutes | ~2 Seconds |
| Minimum Lock-in | None (Per Second) | 24 Hours | None |
| Environment | Native macOS | Native macOS | Linux/Docker |
| Cost / Agent Hour | $0.60 | $1.08+ | $0.05 |
| App Compatibility | Excel, Xcode, Safari, Adobe | Excel, Xcode, Safari, Adobe | Terminal Only |
Perfect for heavy training loops.