torch keeps CUDA state per host thread (cuBLAS handles and workspaces), partly outside the
per-process VRAM cap. Scoring on anyio's threadpool let 40 threads each create it: measured on
fv-ml1 GPU 3, +252 MiB outside the cap and +326 MiB inside, which pushed the process past the
10,300 MiB GPU 1 budget. Load, warm-up and every call now run on the same single thread.
Contract, service and tests (fake engine, no GPU). Scores through the checkpoint's own
inference.py (DecisionEngine.predict, sha256-pinned); maps semif decisions onto Jev choice
questions, packs /decide/shared into calls of at most 16, runs orderings in waves, and keeps
semif's error mapping, admission, body limit and hard VRAM cap. Deltas from semif-serve are
listed in the contract.
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