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Local LLM users with 24GB+ VRAM likely a small fraction, Reddit poll suggests

By PulseAugur Editorial · [1 sources] ·

A Reddit user on the r/LocalLLaMA subreddit inquired about the prevalence of GPUs with 24GB or more of VRAM among users running large language models locally. The user noted that despite Qwen 3.8 27B having a million downloads, they estimate that only a small fraction, possibly under a thousand, actively use such models on hardware with 24GB+ VRAM. This figure, they suggest, includes casual users and image generators, with the number of individuals achieving genuine productivity and development with local LLMs being even smaller. AI

IMPACT Suggests a bottleneck in hardware adoption for advanced local LLM use.

RANK_REASON User-generated discussion and speculation about hardware adoption for local LLMs.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Local LLM users with 24GB+ VRAM likely a small fraction, Reddit poll suggests

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Commentary
User-generated discussion and speculation about hardware adoption for local LLMs.
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Story freshness
41 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Ok-Shower7286 ·

    How many people have 24gb over gpu here?

    <!-- SC_OFF --><div class="md"><p>I was surprised by the fact that the qwen 3.8 27b download count is about 1 million (globally). This means that even on this subreddit, very few people have used 27b.</p> <p>At most 50k–100k active users, and once you break down the hardware dist…

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