Hello Team,
We are planning a product focused on
Supply Chain planning and modeling. Nvidia cuOpt seems to be a class apart for the Vehicle Routing Problem. We came across the following blog article and the embedded video where there is a mention of cuOpt solver being applied to LP problems beyond VRP
Ref: https://developer.nvidia.com/blog/building-an-ai-agent-for-supply-chain-optimization-with-nvidia-nim-and-cuopt/
In addition to the well-known vehicle routing problem (VRP), cuOpt can optimize for linearly constrained problems on the GPU, expanding the set of problems that cuOpt can solve in near-real time.
The solution offers end-to-end visibility, demand forecasting methods, auto-fulfillment optimization, dynamic planning optimization, and integrated business planning in near-real time.
The scenario illustrated in the video also shows a stock allocation problem in the context of dynamic supply and demand constraints.
We wanted to know if these are in fact supported today. Or are these capabilities being worked on and not GA yet? If these are supported, it would be a great help if you could share more documentation on these capabilities.
Thanks in advance
Sriram