RigCheck is a hardware compatibility checker for people who run open AI models on their own machines. Instead of guessing whether a model will fit, you select your graphics card or Mac plus your RAM, and the site reports which models and quantization levels can run, drawing on developers’ published requirements and benchmarks.
The core workflow is hardware-first or model-first. You can start from your VRAM size or specific GPU, or browse the model list and open a per-model checker. Results distinguish between models that fit entirely in GPU memory and those that need system RAM, and cover language, image and video model routes with complete workflow files and sourced memory limits.
It is aimed at local AI enthusiasts, developers evaluating hardware purchases, and Mac users curious about Apple silicon capacity. Because estimates are capacity calculations rather than measured benchmarks, treat them as planning guidance and verify against real-world reports for your exact setup, context length and quantization.
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