RigCheck helps people assess whether local AI models fit their graphics card, system memory or Mac. Users choose hardware and RAM, then inspect model-specific checks and suggested file choices. The site separates models that fit entirely in GPU memory from options that need system RAM, offloading or another supported route, with links back to the material behind its figures.
Its results are not a blanket performance guarantee. RigCheck labels published requirements, measured results and its own capacity estimates differently; context length, quantization, input type and execution backend can all change the answer. Image and video entries can rely on planning budgets or published recipes rather than a measured memory peak for the user's exact setup. The tool is independent of model developers and is useful for narrowing a download or hardware decision before committing time and storage. Users should read the assumptions on the specific model page rather than treating a memory-fit result as a prediction of speed.
