AINewsnow

Making Qwen Faster on an RTX 3090

This story is from 2026-10-10. It is preserved in the archive; the latest stories are on the live feed.

Originally published on my blog . 中文版 . Over the past few days, I continued tuning Qwen3.8-27B on a single 24GB RTX 3090. Generation speed during coding tasks increased from roughly 33 tokens/s with the original configuration to around 60 tokens/s . Two other findings deserve attention: a repeatedl…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-10 18:56 · DEV Community — AI
    Making Qwen Faster on an RTX 3090

More stories

  1. Qwen Image 2.1 Turbo Released -- Hugging Face — r/StableDiffusion
  2. Water cooling 2x RTX 6000 Pro Workstations; temps down 50% at max load, 500W max under Qwen 3.8 Flash Next — r/LocalLLM
  3. Release: Qwen-2B-RCOL Dynamic Low-Bit Quantization (IQ1_M, IQ2_M, IQ3_M) — r/LocalLLaMA
  4. Hunyuan image 3 vs qwen 2.1 — r/StableDiffusion
  5. Qwen 3.6 35B A3B: 131K context + vision on 6GB VRAM — r/LocalLLaMA
  6. Success with Qwen3.8 27B GSQ-RCO-IQ3_S on 16GB VRAM — r/LocalLLM
  7. Alibaba Qwen Releases Qwen-Image-2.1-Turbo, an 8-Step 7B Image Model — MarkTechPost
  8. Our self-hosted inference cost per token only beat the API once the GPUs had night work. — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →