Private-infrastructure answer
AI coding agents can run on private infrastructure when the selected model, runtime, tools and hardware support the workload. A hybrid system may route some work locally and other work to approved hosted models. Private execution still needs repository controls, fenced ownership, evidence and review; location alone does not make agent output safe.
Model capability, context size, latency and data policy determine which tasks suit local execution. Nexus is designed to preserve one project authority across approved routes.
This does not imply that every Nexus deployment is fully on-premise.
Hardware cost, utilisation, operations, queue latency and review yield all affect local GPU economics. Token price alone is not a complete comparison.
A local worker still receives bounded authority and produces a candidate commit with evidence. Exact-SHA review and human release gates remain applicable.
Nexus launch access
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