Housing and city-hall inference must match clinic staging behavior. What container practice is essential?
Select an answer to reveal the explanation.
Short Explanation
If clinic staging and city hall disagree on CUDA/Triton, you’re debugging ghosts. Pin the versions in the inference image so every building runs the same recipe.
Full Explanation
Housing and city-hall inference that must match clinic staging behavior depends on pinning CUDA and Triton versions in inference container images so every site resolves the same runtime. Reproducible images prevent “works in clinic, fails at city hall” drift from mismatched kernels, plugins, or API behavior across municipal buildings. Pulling latest nightly tags automatically on every host reboot invites breakages from untested upstream changes. Leaving framework versions unset so each site resolves packages differently guarantees environment skew that consumes ops time during incidents. Baking host GPU driver source into application Python wheels only does not pin the Triton server or CUDA user-mode libraries the serving stack actually needs and still leaves sites free to diverge. Exam caveat: version pins must stay compatible with the host driver’s supported CUDA range; pinning a userspace CUDA newer than the driver allows will fail at container start even if the tag looks reproducible. Operational check: record digests and tags for CUDA and Triton in the image, deploy the same image to clinic staging and city-hall nodes, and confirm tritonserver version output and CUDA library versions match before promoting traffic.