使用 NVIDIA NemoClaw 在可控技術堆疊上構建專用智能體

Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

AI 導讀

NVIDIA NemoClaw 用於在可控技術堆疊上構建專用智能體。構建自主智能體需要模型、harness 和領域專用工具；更安全地部署則需要可執行政策的 runtime，以及支援可靠執行的最佳化和可觀測性工具。面向生產環境時，挑戰在於讓智能體具備能力並能安全地存取企業系統和資料。

正文

Orange lobster character holding a green shield with a padlock beside a computer displaying code and an NVIDIA DGX Spark on a desk. Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces...

Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces policies, along with optimization and observability tools for reliable execution. For production agents, the challenge lies in making these agents capable and safe to operate with access to real enterprise systems and data.

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