scriberr to fv-ml1 GPU 3 (on-demand, steps aside to irv-ml1 A6000); intern-decision 32k-token calls (cap 14.4 GiB)

Prime 2026-09-30: move scriberr to GPU 3 and extend the Jev endpoint to 32k tokens.
Scriberr holds 0 VRAM idle; verified a 20-min job on GPU 3 at 5,496 MiB. With GPU 1
freed, intern-decision's measured card peak at MAX_TOKENS=32768 is 15,220 MiB against
a 15,437 MiB budget (n=3, 1 and 16 questions); 32,769 tokens is refused 422 up front.
JevBench v1.2.16 via /v1/systemone unchanged: 202/231, 0 diffs vs the bench.

stacks/scriberr/compose.yaml

@@ -18,11 +18,13 @@
 #   /tank/scriberr/src/Scriberr on fv-ml1.
 #
 # ── GPU PINNING ───────────────────────────────────────────────────────────
-# Pinned to **GPU1** via explicit device_ids, per the house convention and
-# because GPU0 is fully committed to the `gen` seat. GPU1 shares space with
-# the `sec` seat, so this stack is a guest there — keep an eye on VRAM.
+# Pinned to **GPU 3** (Prime, 2026-09-30 1322) via explicit device_ids. Scriberr holds 0 VRAM
+# when idle, so it is an ON-DEMAND tenant of GPU 3's full-size-seat reserve, like Blender: when a
+# full-size seat (Flash-Next) claims GPU 3, Scriberr STEPS ASIDE. Its planned landing spot then is
+# irv-ml1's A6000, not GPU 1 (GPU 1's headroom now funds intern-decision's 32k-token calls).
+# (It was on GPU 1 until 2026-09-30, beside the vLLM seats; history in stacks/scriberr/README.md.)
 # NOTE: do NOT add `NVIDIA_VISIBLE_DEVICES=all` (as upstream's compose does).
-# It overrides the device_ids reservation and exposes both cards.
+# It overrides the device_ids reservation and exposes every card.
 #
 # All tunables live in .env — edit that, not this file.
 
@@ -70,7 +72,8 @@ services:
       # and takes out the Parakeet + Sortformer backends (WhisperX survives).
       # `copy` trades a little disk and time for it actually working.
       - UV_LINK_MODE=${SCRIBERR_UV_LINK_MODE:-copy}
-      # ── GPU 1 memory budget (2026-09-30, Prime: Scriberr shares GPU 1 with
+      # ── Memory settings, measured while Scriberr shared GPU 1 (2026-09-30; it moved to
+      # GPU 3 at 1322 the same day, so the 5.5 GB budget no longer binds, but the values stand). Prime: Scriberr shared GPU 1 with
       # intern-decision, which holds ~9.7 GB resting / 10.3 GB peak). ──────────
       # Parakeet's buffered path cuts audio into slices of this many seconds
       # (Scriberr reads it in parakeet_adapter.go for BOTH the "is this long
@@ -94,7 +97,7 @@ services:
         reservations:
           devices:
             - driver: nvidia
-              device_ids: ["${SCRIBERR_GPU_ID:-1}"]
+              device_ids: ["${SCRIBERR_GPU_ID:-3}"]
               capabilities: [gpu]
     healthcheck:
       # 127.0.0.1 rather than localhost — the IPv6-first resolution trap has
@@ -121,7 +124,7 @@ services:
       - homepage.group=AI - Studios
       - homepage.name=Scriberr
       - homepage.icon=mdi-microphone-message
-      - homepage.description=Audio/video transcription + diarization (fv-ml1, GPU1)
+      - homepage.description=Audio/video transcription + diarization (fv-ml1, GPU3)
       - homepage.href=http://10.251.50.54:${SCRIBERR_PORT}
 
 networks: