This covers deploying NVIDIA's cuOpt REST server and calling it from Python or curl. You get Docker and local startup commands, payload examples for routing and linear programming problems, and a polling workflow since solutions come back async. The Python snippet shows the full cycle: POST your problem, grab the request ID, poll for results. Helpful if you're already familiar with cuOpt's Python API, since the REST field names differ slightly (task_locations vs order_locations, for instance). The runnable assets give you working VRP, pickup/delivery, and LP examples to start from. Routing and MILP are supported; quadratic programming is not available via REST.
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