AINewsnow

How to deploy and tune Qwen3.8-27B on one RTX Pro 6000

This story is from 2026-10-15. It is preserved in the archive; the latest stories are on the live feed.

Qwen3.8-27B is 27B dense, published in FP8 under Apache-2.0, and the weights plus runtime overhead come to about 29 GiB. A single RTX Pro 6000 holds it with a large KV cache still to spare, on one process, with no tensor parallelism to configure. This post is the serving config EcoHash runs in prod…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-15 04:08 · DEV Community — AI
    How to deploy and tune Qwen3.8-27B on one RTX Pro 6000

More stories

  1. OpenAI engineer charged with planting surveillance device in office — Sky News Technology
  2. Anthropic reports $16.8 billion Q3 revenue ahead of planned IPO — Bloomberg AI
  3. Eight US states sue OpenAI over alleged safety risks to children — The Verge AI
  4. MIT Professor Explores AI's Impact on Thinking Skills in New Book — MIT News AI
  5. SK Hynix and Samsung shares plunge amid tech sell-off — CNBC Technology
  6. Figma introduces agent features and open beta for code layers — TechCrunch AI
  7. Meta Study: Most Small Businesses Use AI for Productivity — Meta Newsroom
  8. Google and Meta launch new frontier AI models amid competitive benchmarking — Google Gemini Blog

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