
Local AI 101: what your own machine can run
A phone or an 8 GB laptop handles most everyday AI jobs, and video needs 32 GB. How much memory local AI needs, and the command that tells you what yours has.
Read MoreArticles, guides and deep dives from the QVAC team.

A phone or an 8 GB laptop handles most everyday AI jobs, and video needs 32 GB. How much memory local AI needs, and the command that tells you what yours has.
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We built Genesis III to push small models as far as they can go on STEM. A 1.7B model trained on it answers more than twice as many questions correctly as the same model trained on the open alternative, from an identical token budget.
Read MoreTranslatePsy-AfriSLM is our translation model for 19 African languages, small enough to run on a phone. We built a demo on it: paste text or photograph a page, and read it in your language, with no connection and nothing to pay.
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Our engineering team has been optimising the QVAC audio stack, so we measured it. We put qvac-fabric-speech.cpp against the open-source engines people run for transcription, speech synthesis and music generation, on four machines and six GPU lanes, timing every engine from outside its own process so that nobody's own stopwatch is quoted. QVAC leads on the GPU lanes we measured, across every vendor. Here is each number, and how we took it.
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