Prime asked for augaman on fv-ml1's utility card, beside vllm-coder. Mirror
augaman-dev's f77164f compose, which parameterises the GPU reservation (GPU_ID,
default 0) and the Homepage card name (CARD_SUFFIX). esh-ml1's resolved config is
unchanged: same config hash, no recreate.
On fv-ml1: augaman:0.1.2 built on-box from the tag, GPU_ID=1, healthy on CUDA
at 1264 MiB, and pytest -m gpu tests/vision passes 3/3 on the Blackwell. It has
its own gallery and no gallery backup, so it is fixtures-only. The host's raw
restic copy of /var/lib/docker/volumes is not a consistent SQLite backup.
docs/pfi/augaman-speed-bench/ holds the harness (augaman-dev's recipe plus a
no-face control frame and a face-count check on every response), the raw rows
and the summary. Server-side, one face:
- esh-ml1 GPU 144 ms
- fv-ml1 GPU 75 ms
- fv-ml1 CPU on 6 cores 152 ms
- esh-ml1 CPU 888 ms
It agrees with augaman-dev's independent esh-ml1 measurement once each
harness's floor is subtracted. This is the before for v0.1.3's detector fix.
Mirror pfi/augaman deploy/compose.yaml as stacks/augaman, with an .env.example and
a README carrying the biometric backup gate. The image is built on esh-ml1 from a
git archive of the release tag, because the box holds no gitea credentials.
Serving on CUDA and visible in nvidia-smi. The gallery backup is not wired yet
(esh-ml1 has no restic), so only public-domain fixtures may be enrolled.
The on-box gpu test fails its batch-vs-single tolerance 3/3; reported to
augaman-dev, who owns the contract.
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