클러스터 문제 및 간소화 된 AI 공장 운영을 조사하기 위해 전문 AI 에이전트를 배포합니다.

개요

[!노트] 실험적인 릴리스입니다. 설치 이전에 SUPPORT.md를 참고하십시오.

AI Factory Operations Agent는 NemoClaw와 내장 된 확장 가능한 에이전트 작업 프레임을 배포하기위한 NVIDIA 청사진입니다. 전문 에이전트 수집 및 클러스터 시스템의 비교를 correlate, 명확한 뿌리 원인을 생성, 그리고 팀 자신의 AI 공장 환경에 적응할 수 있는 관리, 감사 가능한 워크플로를 통해 다음 단계를 추천.

지원된 워크플로우는 다음과 같습니다:

• 읽기 전용 쿠버네티스 워크로드 및 클러스터 검사.
• Prometheus 및 VictoriaMetrics 쿼리 및 Grafana 대시보드 생성.
• 스케줄러 및 로그 증거에서 Slurm 작업 root-cause 분석.
• 선택 클러스터 관리 통합.
• 감사 가능한 에이전트 워크플로우로 Sandboxed 명령 실행.

건축

OpenShell isolates 일반 에이전트 명령 실행. Kubernetes, Observability, Slurm 및 Base Command Manager 액세스는 모듈별 서버 측 도구와 그 모듈에 명시적으로 구성된 자격 증명을 사용합니다.

AI Factory Operations Agent

Deploy specialized AI agents to investigate cluster issues and streamline governed AI factory operations.

Overview

[!NOTE] This is an experimental release. Please reference SUPPORT.md prior to installation.

AI Factory Operations Agent is an NVIDIA blueprint for deploying an extensible agentic operations framework built with NemoClaw. Specialized agents gather and correlate evidence across cluster systems, generate clear root cause summaries, and recommend next steps through governed, auditable workflows that teams can adapt to their own AI factory environments.

Supported workflows include:

• Read-only Kubernetes workload and cluster inspection.
• Prometheus and VictoriaMetrics queries and Grafana dashboard creation.
• Slurm job root-cause analysis from scheduler and log evidence.
• Optional cluster-management integrations.
• Sandboxed command execution with an auditable agent workflow.

Architecture

OpenShell isolates general agent command execution. Kubernetes, observability, Slurm, and Base Command Manager access use module-specific server-side tools and the credentials explicitly configured for those modules. Browser and MCP clients do not receive cluster credentials. Kubernetes Secrets remain mounted only in the pods that require them.

Requirements

• OS/architecture: a Kubernetes environment compatible with the container images selected in Helm values.
• Runtime: Kubernetes, kubectl, and Helm 3.
• LLM: an OpenAI-compatible endpoint or a cluster capable of running chart-managed vLLM.
• GPU/driver: required only when deploying chart-managed vLLM; requirements depend on the selected model profile.
• Optional services: Prometheus or VictoriaMetrics, Grafana, Slurm, or cluster-management endpoints for the corresponding modules.

Getting Started

The documentation site can be built locally from the guides in this repository. See Building the documentation.

In the early access stage, the published Helm chart and container images require an early access invitation to the private NGC registry; nvcr.io login alone does not grant pull access. To request access before installing, complete the onboarding form or email [email protected]. You can also contact your NVIDIA account team.

Use the complete installation guide for your environment:

• NVIDIA Mission Control installation
• Base Command Manager installation without Kubernetes
• Kind installation