用 NVIDIA NemoClaw 在自控技术栈上构建专用智能体

Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

AI 导读

NVIDIA 介绍在自主可控的运行时栈上构建专用智能体的方案 NemoClaw，该运行时负责执行策略，并提供优化与可观测性工具以保障可靠执行。构建自主智能体需要模型、harness 和领域专用工具，生产环境的关键挑战是让智能体在接入真实企业系统与数据时仍能安全运行。

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.

Source

来源：NVIDIA Developer Blog · developer.nvidia.com