SYSTEM REQUIREMENTS
HardwareCompatibility
GhostNN runs a full AI model locally in your browser using WebGPU. Check if your device is ready.
Checking Your System...
How It Works
WebGPU
Next-generation graphics API that enables GPU-accelerated AI inference directly in your browser.
WebLLM
Runs Hermes 2 Mistral 7B locally. Your prompts never leave your device — complete privacy.
Local First
The AI model (~4GB) downloads once and runs entirely on your hardware. Low latency, no API calls.
Hardware Tiers
BEST
Optimal Performance
Smooth, responsive AI with no compromises
Apple Silicon
- M1 Pro / M2 Pro / M3 or better
- 16GB+ unified memory
- Safari, Chrome, or Edge with WebGPU
Windows / Linux
- 8+ core CPU
- RTX 3060+ or equivalent (8GB+ VRAM)
- 16GB+ system memory
- Chrome, Edge, or Firefox with WebGPU
What to expect:Fast model loading, smooth inference, great multitasking
BETTER
Good Performance
Works well with some care
Examples
- Base M1 / M2 Mac with 8GB RAM
- Windows laptop with 16GB RAM + integrated graphics
- Desktop GPU with 4-6GB VRAM
Tips for best results:
- Close other heavy apps before using
- Keep only one GhostNN tab open
- Expect slightly slower startup
- May experience occasional pauses on long sessions
What to expect:Usable but needs dedicated attention
GOOD
Limited Support
May struggle or not work
Not Recommended
- 4GB RAM devices of any kind
- Older Intel Macs with 8GB RAM
- Chromebooks and tablets
- Mobile devices (experimental)
Reality:Model may never load, frequent crashes, unusable latency
Quick Checklist
Answer yes to all three to run GhostNN smoothly:
1Can your device download ~4GB once for the AI model?
2Do you have 16GB+ unified memory, or 8GB+ GPU VRAM + 16GB system RAM?
3Are you on a modern browser with WebGPU enabled?
Browser Support
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