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CanIRun.ai

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Introduction:
Browser tool that checks whether your hardware can run local AI models
Added on:
Nov 2, 2026
Website:
www.canirun.ai
Company:
CanIRun.ai
CanIRun.ai homepage
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Introduction

Description shown in its original language (English).

CanIRun.ai reads your GPU, CPU and RAM through WebGPU and browser APIs, then scores how well models like Llama, Qwen, DeepSeek and Phi will fit. It lists VRAM needs at each quantization level.

Added on
Nov 2, 2026
Website
www.canirun.ai
Pricing model
Free
Company
CanIRun.ai

Product information

What is CanIRun.ai?

CanIRun.ai is a web tool that tells you whether your machine can run various AI models, using WebGPU and browser APIs to estimate GPU capacity and memory.

Core features of CanIRun.ai

  • Automatic hardware detection through WebGPU
  • Model database with VRAM and RAM analysis
  • Quantization estimates from Q2 to F16
  • Filtering by task and provider
  • Hardware tier lists and comparisons

Use cases of CanIRun.ai

  1. 1Checking which Llama or DeepSeek version fits your GPU
  2. 2Planning hardware upgrades for local inference
  3. 3Finding compact models for constrained devices

How to use CanIRun.ai?

Let the site detect your hardware automatically, or choose your GPU and RAM from the dropdowns. It then shows compatibility grades and memory requirements for each model.

Frequently asked questions about CanIRun.ai

How does CanIRun.ai know my PC specs?+

It uses WebGPU and standard browser APIs to estimate GPU capacity and available memory.

What do the grades S to F mean?+

They show how well a model fits in VRAM: S, A and B usually run smoothly, C and D are tight fits, and F means too large.

Which category is CanIRun.ai in?+

CanIRun.ai is listed under AI Code Editor.

CanIRun.ai tags

local aihardware checkllmopen source modelsdeveloper tools

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