+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Inference Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=9)
+--- Forum: llama.cpp / GGUF (https://www.datasculpting.ai/inference/forumdisplay.php?fid=35)
+--- Thread: prefix caching in llama.cpp on 7900 XTX (/showthread.php?tid=1102)
prefix caching in llama.cpp on 7900 XTX - latentcraft - 10-12-2026
Thought I'd post a small recipe because a lot of threads ask similar things.
Just sharing a setup that ended up working reasonably well: Mistral, vLLM, A6000, with a lot of attention on tail latency.
Feel free to tear it apart if you see something dumb.
I care more about stability than squeezing the last possible tokens/sec out of it.
If I had to summarize the lesson so far, it would be that clean setup and observability beat clever guesses.