frank-default-small: prefill-max ncmoe 35 / ubatch 3072

Prefill is the priority for this workload. Switch from decode-max
(ncmoe 32 / ubatch 1024) to prefill-max:
- n-cpu-moe 35, ubatch 3072: prefill ~1458 t/s (top tier), gen ~45.4 t/s,
  ~1.2 GiB headroom at the 800k pool.
- Gen is independent of ubatch; ub 3072 reaches best prefill with no
  decode cost. Docs synced (benchmark Chosen State, deployment, specs).

docs/Dankserver System Specs.md

@@ -51,11 +51,11 @@ Dankserver is an NVIDIA GPU server for vLLM inference. The host runs Ubuntu 24.0
 
 ### Active Services
 
-The active `frank-default-small` service (llama.cpp, `b10108+`) serves the HauhauCS Qwen3.6-35B-A3B uncensored `Q6_K_P` model on port 7770 with **ngram-mod** speculative decoding. It runs **4 parallel slots** at 200000 context each (pool 800000). Of the 40 layers' MoE expert weights, **32 sit on CPU** (`--n-cpu-moe 32`) while the remaining **8 layers' expert weights** are resident on GPU along with all non-expert tensors (`--gpu-layers all`). KV stays on GPU with K=`q8_0`, V=`f16`. Batch 8192 / ubatch 1024, `--ctx-checkpoints 4`, `--no-mmap`. At idle ~23.0 GB VRAM used, leaving an estimated **~1.0 GiB** headroom (chosen by benchmark, see [[frank-default-small-benchmark]]). Idle RAM ~32 GB of 62 GB.
+The active `frank-default-small` service (llama.cpp, `b10108+`) serves the HauhauCS Qwen3.6-35B-A3B uncensored `Q6_K_P` model on port 7770 with **ngram-mod** speculative decoding. It runs **4 parallel slots** at 200000 context each (pool 800000). Of the 40 layers' MoE expert weights, **35 sit on CPU** (`--n-cpu-moe 35`) while the remaining **5 layers' expert weights** are resident on GPU along with all non-expert tensors (`--gpu-layers all`). KV stays on GPU with K=`q8_0`, V=`f16`. Batch 8192 / ubatch 3072, `--ctx-checkpoints 4`, `--no-mmap`. At idle ~22.8 GB VRAM used, leaving an estimated **~1.2 GiB** headroom (chosen by benchmark for prefill speed, see [[frank-default-small-benchmark]]). Idle RAM ~32 GB of 62 GB.
 
 ## Hardware Relevance
 
-- 24 GB VRAM is close to saturated with this config. At idle ~23.0 GB used, leaving an estimated **~1.0 GiB** headroom at `--n-cpu-moe 32` (8 layers' experts on GPU) with `ubatch 1024`. A llama-bench sweep ([[frank-default-small-benchmark]]) chose this state: it maximises decode (~48.7 t/s) while staying above the OOM boundary that `ncmoe 32 - ubatch 2048` crossed (24.4 GiB). If headroom proves too thin for production bursts, reduce `ubatch` to 768 (~1.3 GiB headroom) or dial `--n-cpu-moe` back to 34 at `ubatch 1536` (~2.0 GiB headroom) by editing `scripts/frank-default-small.env`.
+- 24 GB VRAM is close to saturated with this config. At idle ~22.8 GB used, leaving an estimated **~1.2 GiB** headroom at `--n-cpu-moe 35` (5 layers' experts on GPU) with `ubatch 3072`. A llama-bench sweep ([[frank-default-small-benchmark]]) chose this state because prefill is the priority: `ubatch 3072` reaches ~1458 t/s prefill, the top tier, and generation is independent of ubatch. If decode speed matters more, use `ncmoe 32 - ubatch 1024` (gen ~48.7 t/s). By editing `scripts/frank-default-small.env`.
 - 62 GB system RAM holds the ~29 GB of MoE expert weights with room to spare (~57 GB available after load).
 - 127 GB swap is available for CPU KV cache paging if GPU KV offload is disabled.
 - Root disk has approximately 140 GB free. Store the GGUF models under `/home/dank/models` (about 32 GB total).