NVIDIA Introduces NemoClaw to Improve OpenClaw AI Deployment and Security

NVIDIA is stepping in to address growing pains around OpenClaw, one of the fastest-rising open-source AI agent platforms. At GTC, the company introduced NemoClaw, a new stack designed to simplify deployment and improve security, scalability, and reliability.

OpenClaw has gained traction for enabling autonomous AI agents, often referred to as “claws,” but users have reported challenges around setup complexity and stability. NVIDIA’s new solution aims to remove those barriers.

NemoClaw simplifies AI agent deployment

NemoClaw introduces a streamlined approach to running AI agents, allowing users to install models and runtime components with a single command. The stack combines NVIDIA Nemotron models with the OpenShell runtime, creating a unified environment for building and managing agents.

The goal is to make autonomous AI more accessible, especially for developers and businesses that want to deploy agents quickly without dealing with fragmented tooling.

Focus on security, privacy, and scalability

NVIDIA emphasizes that NemoClaw brings enterprise-grade safeguards to OpenClaw deployments. The platform uses the NVIDIA Agent Toolkit to provide an isolated sandbox environment where agents can operate safely.

It also introduces policy-based controls for privacy and security, along with restricted network access. These features aim to ensure that autonomous agents can run continuously without exposing sensitive data or creating vulnerabilities.

Hybrid AI approach for flexibility

One of the key innovations in NemoClaw is its hybrid AI model strategy. Users can run models locally using Nemotron or connect to more advanced cloud-based models through a privacy-focused routing system.

This setup allows AI agents to expand their capabilities while still operating within defined guardrails. It also supports continuous learning, enabling agents to evolve and handle more complex tasks over time.

Built for RTX and enterprise AI hardware

NemoClaw supports a wide range of NVIDIA hardware, from GeForce RTX PCs and laptops to RTX PRO workstations and high-end systems like DGX Station and DGX Spark.

These platforms provide the compute power required for always-on AI agents, reinforcing NVIDIA’s vision of persistent personal AI ecosystems.

NVIDIA doubles down on AI ecosystem expansion

During the same event, NVIDIA also announced DLSS 5, a collaboration with Adobe for a next-generation Firefly AI model, and new Vera CPUs designed for AI workloads. The company even revealed space-focused modules aimed at running AI systems beyond Earth.

NVIDIA’s broader AI push also includes new hardware, with Xeon 6 SoCs powering DGX Rubin NVL8 systems.

With NemoClaw, NVIDIA positions itself at the center of the emerging autonomous agent ecosystem, pushing toward a future where personal AI operates continuously across local and cloud environments.