Quick Keypoints
- Verifies local AI model compatibility for specific smartphone and Mac hardware.
- Distinguishes between mathematical spec estimates and verified physical benchmarks.
- Provides educational resources on quantizations, bandwidth speeds, and performance.
- Maintains 100% independent hardware reviews with no developer affiliations.
What is AICanRun?
AICanRun (aicanrun.com) is an independent, community-driven compatibility checker that determines which local AI models can run on your smartphone or Mac. It evaluates memory bandwidth, thermal constraints, and RAM limits to estimate local performance metrics.
AICanRun serves as a technical directory mapping local model requirements to consumer hardware limits. By measuring factors like context memory constraints and token-per-second processing speeds across popular chipsets, it helps developers choose suitable quantizations for native offline applications.
Who Needs AICanRun?
Local AI enthusiasts, mobile developers, and Mac power users seeking to run open-source models offline.
Primary Use Cases
- Autocompleting code syntax and logic blocks in real-time.
- Explaining complex functions and debugging codebase errors.
- Generating boilerplate code and unit test suites automatically.
Important Features
- Compatibility Checker: Instantly evaluate if a model quantization matches your RAM limits.
- Verified Benchmarks: View real-world performance tests submitted by the user community.
- Quantization Guides: Learn how to optimize LLM sizes for targeted hardware runs.
- Device Comparison: Compare Apple Silicon and mobile NPU performance across model sizes.
Current Updates About AICanRun
- Added Apple M4 benchmark maps, mobile NPU validation guides, and expanded device coverage to 136+ phones.
- Current Version: Active
Pricing Plans
| Plan | Price |
|---|---|
| FreeAccess hardware compatibility tool and RAM usage calculations for local LLM deployment. | $0 |
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