Record hardware and model inventory evidence
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# WP-200 Hardware and model inventory evidence
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Task: DEV-000111
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Evidence date: 2026-08-22
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Target: `docker-prod` / `docker.cin.su`
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## Host evidence
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Read-only `ssh docker` inspection returned:
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- host: `docker`
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- CPU: `128` logical processors
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- memory: `251 GiB` total, `203 GiB` available at inspection time
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- swap: `8 GiB`, `256 KiB` used
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- root storage: `1.6T` total, `359G` used, `1.2T` available, `24%`
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- `nvidia-smi`: unavailable
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- Docker server: `29.4.0`, `128` CPUs, approximately `252 GiB` Docker memory
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- Docker runtimes: `runc`/`containerd`; no NVIDIA runtime reported
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## Runtime evidence
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Read-only `docker --context docker-prod` inspection found:
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- `assistant-cognitive-worker-1`: production revision `b439a813...`, `/healthz` returned `status=ok`
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- `assistant-cognitive-lifeboat-1`: `ghcr.io/ggml-org/llama.cpp:server`, Docker health `healthy`
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- `llm-local-api`: `ghcr.io/ggml-org/llama.cpp:server`, Docker health `healthy`
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- no model activation, routing change or deployment was performed by this inventory task
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## Qualification conclusion
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This host has no verified GPU/VRAM capability in the inspected runtime. CPU
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and lifeboat health are evidence of availability, not model qualification.
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WP-201 still requires immutable model digests, holdout quality tests,
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latency/concurrency measurements, license/data-policy evidence and restart
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behavior. Heavy-class activation remains a qualification decision, not an
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inventory inference.
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## Evidence limitations
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This record does not establish the topology of any separate GPU host, does not
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read secrets, and does not claim that a model is qualified from its image name
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or health endpoint alone.
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