Optimize Supply Chain Decision Systems Using NVIDIA cuOpt Agent Skills

NVIDIA cuOpt agent skills enable AI-driven supply chain optimization by combining LLM reasoning with GPU-accelerated solvers. The workflow uses LangChain Deep Agents to decompose natural language business goals into sub-tasks, formulate mathematical models (LP/MIP), and invoke the cuOpt solver for production planning, inventory optimization, and routing. A reference implementation is available on GitHub using the NeMo Agent Toolkit, deployable locally or via NVIDIA Brev cloud instances with Docker Compose.