Local AI Hardware Checker

Can Your PC Run Local AI?

Answer a few questions about your RAM, graphics and operating system to get practical model, workload and upgrade guidance.

Can Your PC Run Local AI?

Tell us what computer you have. We'll show you what AI you can realistically run on it.

No expensive AI workstation required. Find out what your existing hardware can do.

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  • Anonymous statistics only
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Hardware questions

Your local AI hardware results

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How to understand your result

Your result shows the model class that fits, the component most likely to limit performance, and a sensible first step.

  • RAM: memory shared by the operating system, applications and model.
  • VRAM: graphics memory available to compatible AI workloads.
  • GPU: hardware that can accelerate supported models and runtimes.
  • Model size: model-weight memory plus headroom for context and runtime.
  • Workload: different tasks need different capabilities and memory headroom.

Methodology

Recommendations consider memory, graphics hardware, operating system, selected workloads and the frozen practical requirements for each curated model.

Privacy and limitations

Only hardware specifications are needed. Do not provide personal or confidential information. “Can run” does not mean “runs fast”: model and runtime versions, quantization, context size and background memory use all affect performance.

Hardware Checker FAQ

Does the checker need personal information?

No. Hardware specifications such as RAM, GPU and VRAM are enough.

Will a recommendation guarantee a particular speed?

No. It provides a practical starting point; actual speed varies with the complete software and hardware environment.

Should I enter confidential information?

No. Never enter passwords, API keys or private documents.

What should I do with the result?

Start conservatively, test a suitable model with non-sensitive material, and verify how the software handles your data.

Continue learning

Understand local AI

Learn what RAM, VRAM, model size and privacy boundaries mean in practice.

For organizations

Need a controlled deployment?

Frame one business use case as a bounded private-AI pilot.

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