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[ARTICLE · art-123438] src=blog.adafruit.com ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Local AI hardware requirements: more RAM vs big GPU

Geeky Gadgets' Julian Horsey reports that running the Qwen 3.8 Flash Next, a 125 billion parameter large language model, at home requires 96 GB of system RAM, with no GPU memory figure specified, highlighting the trade-off between system memory and GPU capacity for local AI hardware.

read1 min views3 publishedSep 8, 2026

Julian Horsey at Geeky Gadgets looks at a question that comes up when running large language models at home: buy more system RAM, or buy a bigger GPU. The example is Qwen 3.8 Flash Next, a 125 billion parameter model. It recommends 96 GB of system memory and gives no GPU memory figure at all. […]

source & further reading
blog.adafruit.com — original article We put an LLM in a PostgreSQL analyzer, then stopped letting it decide truth
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