AINewsnow

Is RX 6800 + 6800 XT a sensible upgrade from 2x RTX 2060 OC 12GB for llama.cpp?

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

I’m currently running llama.cpp on two RTX 2060 12GB cards, so 24GB total VRAM. With Qwen3.8 27B IQ4_XS at 131k context I’m getting around 45 tok/s, which is actually pretty good for this setup. I found a deal on an RX 6800 16GB and an RX 6800 XT 16GB, so I’d be going from 24GB to 32GB total VRAM.…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-09-08 22:47 · r/LocalLLaMA
    Is RX 6800 + 6800 XT a sensible upgrade from 2x RTX 2060 OC 12GB for llama.cpp?

More stories

  1. qwen4exp: add hc ops by am17an · Pull Request #28901 · ggml-org/llama.cpp — r/LocalLLaMA
  2. Beginner confused about Ollama vs LM Studio vs llama.cpp vs vLLM vs Unsloth — can someone explain? — r/LocalLLM
  3. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  4. Made a tool that tells you which GGUF quants will fit your GPU/Mac, with the llama.cpp command to run them — r/LocalLLM
  5. Intel releases OpenVINO 2026.4 — r/LocalLLaMA
  6. Which models you run on your Nvidia v100? — r/LocalLLM
  7. Best Open-Source Agent Harnesses for Local LLMs in 2026 — MarkTechPost
  8. How to run Locall LLMs on Windows 11 without LMStudio or Ollama? — r/LocalLLM

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