【AI+NVDA】Jensen Huang Launches NVIDIA Version of "Lobster Farming," Claims Sandbox and Safety Guardrails Added

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Nvidia (US: NVDA) CEO Jensen Huang is riding the AI agent OpenClaw “Lobster” wave, announcing NVIDIA NemoClaw at the GTC technology conference. This allows users to install NVIDIA Nemotron models and the newly released NVIDIA OpenShell with a single command, adding privacy and security controls to make “Lobster” more credible, scalable, and accessible worldwide.

Huang said, “OpenClaw opens a new frontier for AI for everyone and has become the fastest-growing open-source project in history. macOS and Windows are operating systems for personal computers; OpenClaw is the operating system for personal AI. This is a moment the industry has been eagerly awaiting and marks the beginning of a new software renaissance.”

Nvidia’s press release quotes OpenClaw creator Peter Steinberger: “OpenClaw brings people closer to AI and helps build a world where everyone has their own agent. Through NVIDIA and a broader ecosystem, we are constructing claws and guardrails to enable anyone to create powerful and safe AI assistants.”

What is NemoClaw?

NemoClaw is a software stack developed by Nvidia specifically for the “OpenClaw AI Agent Platform.”

If OpenClaw is the “operating system” for personal AI, then NemoClaw is the official upgrade package that makes this system safer, more powerful, and easier to install. Its main goal is to help users create “24/7 operational, self-learning” personal AI assistants (called claws) and provide the necessary safety guardrails for these AIs.

Its three core features:

  1. Enhanced Privacy and Security: Built-in NVIDIA OpenShell creates an independent sandbox environment, allowing AI to perform tasks securely without freely accessing or leaking your private data.

  2. Flexible Cloud and Local Switching: The local machine can run open-source models like NVIDIA Nemotron; for more powerful cloud models, users can securely connect via a “Privacy Router.”

  3. Empower AI with Implementation Capabilities: Provides the foundational infrastructure for AI agents to write code, use tools, and complete real tasks.

How to use NemoClaw?

Step 1: Prepare suitable hardware, as AI assistants require 24/7 operation and learning. NemoClaw must run on a platform with dedicated computing power. Supported devices include personal computers or laptops with NVIDIA GeForce RTX graphics cards, professional workstations with NVIDIA RTX PRO, or enterprise-level NVIDIA DGX Station or DGX Spark AI supercomputers.

Step 2: Single-command installation — the biggest highlight of NemoClaw. Users don’t need complicated environment setup; with a single command, NemoClaw automatically uses the NVIDIA Agent Toolkit for optimization and installs the underlying Nemotron language model and OpenShell environment in one go.

Step 3: Set up guardrails and assign tasks. After installation, users can write code to create agents, set “security, network, and privacy guardrails,” and then let their dedicated AI agent (Claw) autonomously develop software, learn new skills, or assist with daily tasks.

However, whether there are security vulnerabilities still depends on user feedback.

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