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Budget GPU Setup Achieves 7.39 t/s with Qwen 3.8 27B Model

By PulseAugur Editorial · [1 sources] ·

A user demonstrated that a Qwen 3.8 27B model can be run on a budget setup costing approximately $100, utilizing two RX 580 8GB GPUs for a total of 16GB of VRAM. This configuration achieved a processing speed of 7.39 tokens per second. While this setup is significantly cheaper than typical hardware for running large language models, it comes with limitations such as low processing speed and potential pain points with high input tokens, making it a compromise for users prioritizing cost-effectiveness over performance and ease of use. AI

IMPACT Enables users with limited budgets to run advanced LLMs, potentially increasing accessibility.

RANK_REASON User-generated content demonstrating hardware configuration for running an LLM.

Read on r/LocalLLaMA →

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

Budget GPU Setup Achieves 7.39 t/s with Qwen 3.8 27B Model

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0 / 100
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Tool
User-generated content demonstrating hardware configuration for running an LLM.
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High
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Story freshness
29 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/Whole_Alternative_18 ·

    100$ worth of gpu runs qwen 3.8 27b at 7.39 t/s

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vqpc0f/100_worth_of_gpu_runs_qwen_38_27b_at_739_ts/"> <img alt="100$ worth of gpu runs qwen 3.8 27b at 7.39 t/s" src="https://preview.redd.it/s2c9bi7q3xjh1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=01…

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