Important: Configure policy boundaries before enabling wide agent permissions. That is the fastest way to avoid risky defaults.

1. Requirements

Linux host or VPS with stable outbound network access
Docker-compatible environment (recommended for clean ops)
NVIDIA GPU for local Nemotron execution (optional but useful)
Access strategy for cloud models if you plan hybrid routing

NVIDIA lists support across GeForce RTX, RTX PRO, DGX Spark, and DGX Station classes, so your setup can scale from personal workstation to enterprise-grade infrastructure.

2. Install NemoClaw

NVIDIA publishes the quick install flow below:

curl -fsSL https://nvidia.com/nemoclaw.sh | bash

This bootstraps the stack dependencies and prepares your environment.

3. Run Onboarding

nemoclaw onboard

The onboarding process is where you configure foundational behavior: runtime defaults, security posture, and model routing preferences.

4. Define Policy Guardrails First

Before assigning broad tool access, create policy rules around data classes and destination models.

Policy Layer	Example Rule	Result
Data routing	Credentials and secrets stay local	No sensitive cloud transfer
Tool access	Allow read-only filesystem commands	Lower blast radius
Model allow-list	Only approved endpoints per environment	Predictable governance

5. Validate with a Controlled Test Agent

Create a small, non-critical workspace.
Run simple tasks (read docs, summarize config files).
Confirm logs and routing decisions match policy intent.
Only then expand tool privileges and workload scope.

Video Walkthrough

Use this video for a quick setup context before production rollout:

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6. Production Hardening Checklist

Use least-privilege service accounts and API scopes.
Keep agent tool permissions minimal by default.
Separate staging and production policy profiles.
Monitor audit logs and routing outcomes continuously.
Document allowed model endpoints by environment.

FAQ

Is GPU mandatory for setup?

No. You can still run cloud-routed scenarios, but local model execution needs compatible NVIDIA hardware.

Should I start with one agent or many?

Start with one constrained agent and expand only after policy and audit behavior is validated.

What is the most common mistake?

Giving agents broad tool access before defining data and model routing policies.

How to Set Up NVIDIA NemoClaw: Step-by-Step Guide (2026)