CanIRun.ai
A browser-based tool that estimates which local AI models your machine can run based on device capabilities.
CanIRun.ai
Check which AI models your machine can actually run
What is CanIRun.ai?
How to use CanIRun.ai?
- 1Open the website in a supported browser.
- 2Allow the page to read available browser hardware signals.
- 3Review the estimated GPU, VRAM, bandwidth, RAM, and CPU core fit.
- 4Browse the model list to see which models are likely to run well, be tight fits, or be too heavy.
- 5Open a model page for more details before downloading or running a local model.
CanIRun.ai Key Features
- Browser-based hardware estimation
- Model-by-model local AI compatibility checks
- Runability labels such as Runs well, Tight fit, and Too heavy
- Memory and context-size estimates
- Performance estimates in tokens per second
- Support for many open-weight models and architectures
- Model detail pages with usage categories and release info
CanIRun.ai Use Cases
- Choosing a local LLM for a laptop or desktop
- Comparing model sizes before downloading
- Checking whether a browser device can handle on-device AI
- Finding smaller models for constrained hardware
- Shortlisting models for chat, coding, vision, or reasoning tasks
CanIRun.ai Pricing & Free Credits
CanIRun.ai currently operates on a Free model.
CanIRun.ai Pros & Cons
Pros
- Simple way to estimate local model compatibility
- Covers many popular open models
- Shows practical fit labels and performance estimates
- Useful for choosing models by hardware limits
Cons
- Estimates are based on browser APIs and may vary from real hardware
- No detailed paid plan or support information is shown
- Results may not match actual runtime performance exactly
What is CanIRun.ai best for?
- Local AI users
- LLM hobbyists
- Developers testing hardware fit
- People shopping for smaller open-weight models
CanIRun.ai FAQ
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