What this estimate does
It maps broad RAM and VRAM bands to a cautious starting range for quantised local language models. It also applies a little extra caution to longer-context, agent and vision workloads.
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Can My PC Run Local AI?
Enter two hardware numbers for a conservative first-pass estimate. Everything is calculated in this page. Nothing is uploaded and this is not a benchmark or compatibility guarantee.
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Your hardware
Integrated/shared GPU memory is not the same as dedicated VRAM. If you have no dedicated GPU, enter 0.
ESTIMATE
Ready for a first pass
Use the form to see a conservative hardware-fit range.
Suggested starting band—
Acceleration outlook—
Headroom—
What it cannot know
Exact model architecture, quantisation, context length, runtime support, GPU backend, memory bandwidth, CPU speed and model quality all change the real result. A model may load and still be too slow for your workflow.
Next: verify with the real machine
LLMRadar is built around hardware-aware model recommendations and local runtime evidence. HardwareRadar focuses on the Windows hardware and telemetry layer.