Production deployment considerations
#6
by Cagnicolas - opened
This is tough when you deploy reasoning-heavy models for autonomous driving because real-time inference and safety traces matter. A practical tweak is to cap the reasoning depth and gate decisions with a lightweight verifier before exposing an endpoint. One option is to expose this as a hosted endpoint so users don't have to run it locally — AlphaNeural can do this. Keep the CoC traces but feed them through a guardrail layer to reduce risk in production. What latency are you aiming for on the API side?