AINewsnow

Starting my local LLM journey: can a RTX 4080 and 32GB of RAM work for a good enough model?

This story is from 2026-09-13. It is preserved in the archive; the latest stories are on the live feed.

So I have an old gaming rig, and I’m curious how useful it would be to use it for local LLMs? What type of local models can I run with it? Can I use a DeepSeek 4.1 Flash, or a Qwen 3.8 flash next or similar recent models? Pretty sure I can’t at an usable speed, but figured I would ask first before…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-09-13 16:02 · r/LocalLLM
    Starting my local LLM journey: can a RTX 4080 and 32GB of RAM work for a good enough model?

More stories

  1. A company ran 8 identical AI societies for weeks with different models and just published what happened. Some of it is genuinely unsettling. — r/ArtificialInteligence
  2. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  3. Qwen 3.8 27B Running for 63 hours on a RTX 3090 to solve the Riemann hypothesis — r/LocalLLM
  4. US government website used Chinese model the FBI called "malicious" — Ars Technica AI
  5. Cactus Needle 3: A Sliceable 8-29MB Automation Foundation Model That Matches DeepSeek v4 Flash — r/LocalLLaMA
  6. Is Qwen 3.8 Flash Next usable on M1 Ultra 64GB ? — r/LocalLLM
  7. Deployed Qwen 3.6 35B A3B on a single DGX Spark supporting 12 concurrent users at 262K context. Are there better ways to optimize this? — r/LocalLLM
  8. Qwen Developers on X: "Qwen-Image 2.1 is going open source" — r/StableDiffusion

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