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@NVIDIAAI: Internally at NVIDIA, we use cuOpt based agentic workflows with agent skills to optimize our supply chains. Since it’s open source, you can ...

@NVIDIAAI 3 信息等级 3 1 噪音/剔除；2 较弱；3 普通事实；4 重要行业动态；5 极重大事件。该分数是信息显著性，不是投资建议。 发布：2026-05-04T22:30 抓取：2026-05-05 04:04
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摘要

NVIDIA内部使用基于cuOpt的智能工作流优化供应链，该工具已开源，支持多智能体编排和GPU加速求解器，可在几分钟内完成优化，并提供预配置GPU环境供开发者试用。

客观事实
  • NVIDIA内部使用cuOpt优化供应链
  • cuOpt已开源，支持多智能体编排
  • 提供预配置GPU环境供开发者试用
NVIDIA cuOpt

原文

Internally at NVIDIA, we use cuOpt based agentic workflows with agent skills to optimize our supply chains. Since it’s open source, you can too.

With optimizations ready in minutes instead of weeks, the workflow uses multi-agent LangChain Deep agent orchestration and GPU-accelerated solvers to turn natural language into optimized decisions.

Spin it up instantly with a Brev Launchable (preconfigured GPU environment) and grab free developer credits while they last.

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