Check if your hardware can run popular AI models locally — VRAM, RAM, and CPU compared against LLM and Stable Diffusion requirements.
| Founded year: | 2025 |
| Country: | United States of America |
| Funding rounds: | Not set |
| Total funding amount: | Not set |
Description
Can I Run AI is a hardware compatibility checker for local AI workloads. Plug in your GPU, RAM, and CPU specs, and it tells you which open models (Llama, Mistral, Qwen, Stable Diffusion, etc.) you can run, at what quantization level (FP16 / Q5 / Q4 / GGUF), and roughly how many tokens-per-second to expect.It accounts for KV cache growth at longer context lengths — something most quick calculators hand-wave — and supports Apple Silicon's unified memory model alongside discrete NVIDIA / AMD setups. Useful for anyone deciding whether to run inference locally vs paying for an API, or sizing a new build before HuggingFace ships the next must-try model.
Free to use, no signup required.
