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Benchmarking Qwen 3.8 27B on RTX 5090 and beyond — VRAM capacity alone can't overcome severe software and inference engine bottlenecks

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

Following the release of Qwen 3.8 27B, we put our trusty hardware to the test to see which hardware might be best suited for running this open-weight AI model.

Read the full story at Tom's Hardware ↗

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  1. 2026-09-08 13:30 · Tom's Hardware
    Benchmarking Qwen 3.8 27B on RTX 5090 and beyond — VRAM capacity alone can't overcome severe software and inference engine bottlenecks

More stories

  1. Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion
  2. Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use — r/machinelearningnews
  3. Alibaba releases Qwen-Image-2.1, a 7B open-weight model it says outperforms most closed-source models, with native transparency and up to ten reference images (Qwen) — Techmeme
  4. Success running Qwen 3.8 27B EXL3 on RTX 3060 + 5060 Ti — r/LocalLLM
  5. Qwen q4 3.8 27b 16 tok/s 32k RTX 3060 :D — r/LocalLLM
  6. 10 hours left fo Qwen Image 2.1 Public Open Source Release — r/StableDiffusion
  7. Qwen 3.8 27B running on a single RTX 5090 researches and creates a full animation using only code. — r/artificial
  8. US government website used Chinese model the FBI called "malicious" — Ars Technica AI

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