Your AI Workspace: chat, research, and get things done.

Released May 17
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Check if your hardware can run local AI models
Browser-based tool that detects your GPU, CPU, and RAM to show which AI models you can run locally, with performance grades.

A browser-based hardware detection and AI model compatibility checker that scores local model performance against your GPU, CPU, and RAM.
Open the site in a WebGPU-capable browser, let it read your hardware specs, then browse or filter the model catalog to see which models your machine can run and how well.
CanIRun.ai is a browser-based compatibility checker that detects your machine's hardware — GPU, CPU, RAM, and memory bandwidth — and matches it against a catalog of local AI models to predict performance. It assigns a grade from 'Runs great' to 'Too heavy' for each model, factoring in VRAM capacity, memory bandwidth, RAM size, and core count. The catalog covers hundreds of open models across tasks like chat, code, reasoning, and vision, with support for multiple quantizations (Q2_K through F16). Filters let you narrow by GPU family (NVIDIA RTX, Apple Silicon, AMD Radeon, Intel Arc, mobile SoCs), VRAM, RAM, bandwidth, and task type. You can also sort by score, parameter count, speed, context size, or popularity. The site includes a playground, a model compare view, a tier list, and documentation to help users pick the right model for their machine.
No, it runs entirely in the browser using WebGPU and browser APIs to read your hardware specs.
It covers NVIDIA GeForce, RTX PRO, Quadro, Tesla, and data center GPUs, AMD Radeon RX and integrated graphics, Apple Silicon (M1–M5), Intel Arc, and many mobile SoCs including Adreno, Mali, Immortalis, and Raspberry Pi.
The site states that estimates are based on browser APIs and actual specs may vary.
Models are rated from 'Runs great' to 'Too heavy' based on a 0–100 score that weighs VRAM, memory bandwidth, RAM, and cores.
Yes, the site includes a dedicated compare view and a tier list for ranking models on your hardware.
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| can i run ai locally | 12.3K | $ 2.90 |
| can i run ai | 5.1K | $ 0.62 |
| canirunai | 2.8K | -- |
| canirun | 2.7K | -- |
| canirun.ai | 1.2K | -- |
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