docs(chatterbox-fast): Phase 3 deployed — A6000, measured 5.34 GB fp32
Deployed on irv-ml1 beside live chatterbox (:8196): healthy on :8197, TTFB ~0.5s, no starvation. Measured VRAM 5.34 GB (fp32) settles the placement: the 3090's ~3.8 GB free does NOT fit, A6000 (device 1) is the only viable card.
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@@ -52,8 +52,11 @@ docker compose build && docker compose up -d
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`Dockerfile` is `FROM local/chatterbox:v1` (the sibling stack's image — must exist
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on irv-ml1) + `COPY scheduler.py app.py`. GPU pin and voices/cache paths come from
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`.env` (see `.env.example`). Default GPU is **device 1 (A6000)** — turbo loads fp32,
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so the 3090's tight free VRAM likely won't fit; measure before pinning device 0.
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`.env` (see `.env.example`). GPU is **device 1 (A6000)** — measured footprint is
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**5.34 GB** (turbo loads fp32), so the 3090's ~3.8 GB free does **not** fit it.
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**Deployed 2026-06-02** alongside the live `chatterbox` (:8196): healthy on
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:8197, TTFB ~0.5s, no starvation, ~7 GB free left on the A6000.
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## API
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