RigCheck

RigCheck is a local hardware checker tool that determines if a computer GPU or Mac can run specific AI models.

RigCheck is an independent hardware compatibility tool designed to help users determine whether their graphics card, Mac, or system RAM can run specific local AI models. It evaluates language, image, and video model routes by pulling requirements from developer repositories, official announcements, and community benchmarks. Users select their GPU or Mac and RAM to view capacity estimates, GGUF file sizes, and workflow files for various model configurations. The platform calculates memory requirements for llama.cpp contexts, Strata requirements, and image planning budgets. It clearly distinguishes between official measurements, official estimates, and independent capacity estimates to provide transparent hardware guidance.

RigCheck at a glance

Best for: Software engineer, Researcher
Runs on: Web
Pricing: Free
Released: October 2026
Category: AI productivity tool
Website: localrigcheck.com

Key features

Check AI model hardware compatibility
Calculate GGUF file sizes and memory limits
Select specific GPUs, Macs, and RAM amounts
View context cache and host buffer requirements
Access complete workflow files and commands
Browse image and video planning budgets
Track model updates and release dates

Use it for

Checking if a local GPU can run a new language model
Finding the correct GGUF file size for a specific RAM setup
Planning hardware upgrades for local image generation models
Matching Mac unified memory against AI model requirements

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