fleet redo 2026-08-17: retire PP+NPU, new topology

- Move all previous scripts to old/scripts/ (retired PP/NPU-era)
- frank-default-large: llama.cpp FastMTP on dankserver (HauhauCS
  Qwen3.8-27B IQ4_XS + FastMTP 32K draft + ngram-mod, K q8_0/V f16,
  128K ctx, batch 2048/ubatch 1024, port 7770)
- frank-default-small: vLLM ROCm on dankclaw (Avesed Qwen3.6-35B-A3B
  INT8 W8A8, full 262144 ctx, no KV quant, 4 seqs, batch 16384,
  ngram spec, port 52625)
- retarget deploy.sh (dankserver/dankclaw, inline sudo, no helpers)
- docs: deployment + index + AGENTS.md + README for new topology,
  superseded banners on retired docs, add frank-redo-2026-08-17 runbook

old/scripts/frank-pp-worker.env

@@ -0,0 +1,30 @@
+# Worker tunables — Qwen3.8-27B pipeline-parallel RPC worker (Dankserver).
+#
+# The worker is the REMOTE side of the split. It exposes the RTX 3090 to the
+# head on Dankclaw as an RPC device. It runs from the b10433 CUDA+RPC build
+# in /home/dank/llama-cpp-rpc (worktree of /home/dank/llama.cpp).
+#
+# WARNING: do not name any variable here TEMP, HOST, or GPU_MAX_HEAP_SIZE.
+# The ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
+# incident in docs/deployment.md).
+
+# Bind address and port for ggml-rpc-server. Must be the LAN address the head
+# can reach; the default bind (127.0.0.1) refuses remote clients.
+RPC_BIND=192.168.0.235
+RPC_PORT=50052
+
+# Device to expose. CUDA0 = the RTX 3090.
+DEVICE=CUDA0
+
+# Threads for the worker's CPU device (server has 8 cores; leave 1 for the OS
+# and the running frank-default-small service).
+THREADS=7
+
+# 1: enable the local tensor file cache (~/.cache/llama.cpp/rpc/). The head
+# streams the 31.5 GB model to the worker on first load; with the cache, later
+# loads skip the transfer.
+CACHE=1
+
+# Worker binary. Must be the SAME llama.cpp build as the head (b10433 /
+# 9b05354ec). Version skew hangs the RPC handshake.
+WORKER_BIN=/home/dank/llama-cpp-rpc/build/bin/ggml-rpc-server