CanIRun.ai
Browser-based hardware analyzer to check local AI model compatibility.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Aug 14, 2026
Overview
What is CanIRun.ai?
CanIRun.ai is a specialized web-based tool designed to help users determine if their local machine's hardware is capable of running various AI models. By utilizing browser APIs like WebGPU, the site analyzes the user's GPU, CPU, and RAM to provide compatibility scores and VRAM requirements for a vast library of models including Llama, Qwen, DeepSeek, and Phi. It offers detailed technical breakdowns for each model, such as architecture type, context window, and memory requirements across different quantization levels (from Q2_K to F16).
What is CanIRun.ai used for?
Top Features
- Automatic hardware detection via browser WebGPU APIs
- Comprehensive AI model database with VRAM and RAM analysis
- Quantization estimates (Q2, Q3, Q4, Q5, Q6, Q8, F16)
- Filtering by task (Chat, Code, Reasoning, Vision) and provider
- Hardware tier lists and comparison tools
How to use CanIRun.ai?
Users can let the website automatically detect their hardware via WebGPU or manually select their GPU and RAM from the dropdown menus. Once the hardware is set, the site displays a list of AI models with compatibility grades (S to F) indicating how well the system can run them.
Alternative Tools
No alternative tools found
Pros & Cons
No Data
Use Cases
- Determining which version of Llama or DeepSeek can fit on a specific GPU
- Planning hardware upgrades for local AI inference
- Finding optimized 'edge' models for mobile or constrained devices
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