The tutorial is based on the open-source NemoClaw stack, integrating OpenShell and OpenClaw, providing a solution for long-term, secure deployment of autonomous AI assistants locally. Using the NVIDIA DGX Spark system as an example, it details environment requirements (Ubuntu 24.04, Docker 28.x, Ollama, Telegram bot token, etc.) and deployment steps, which are expected to take 20–30 minutes, with an additional 15–30 minutes to download approximately 87GB of models. The core components include NemoClaw, OpenShell, OpenClaw, Nemotron 3 Super 120B, and NIM/Ollama inference deployment. The article notes that although there is strong isolation, no sandbox can fully defend against advanced prompt injection; testing should be conducted on isolated systems.

MeNews

2026-05-25 17:29:48

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ME News Report, April 18 (UTC+8), NVIDIA recently released a technical tutorial guiding developers on how to build a secure, long-running, fully local autonomous AI assistant. The tutorial is based on NVIDIA's open-source reference stack NemoClaw, which integrates OpenShell secure runtime and OpenClaw self-hosted gateway, aiming to address data privacy and control risks when deploying AI agents on third-party clouds. The tutorial provides detailed deployment steps on NVIDIA DGX Spark (GB10) systems, including environment setup, local service models, installation stack, and connection to Telegram. Deployment requires meeting specific hardware (DGX Spark running Ubuntu 24.04 LTS), software (Docker 28.x+, Ollama), and prerequisites such as creating a Telegram bot token. Estimated active operation time is 20-30 minutes, plus an initial model download of about 87 GB taking 15-30 minutes. Core components include NemoClaw, OpenShell, OpenClaw, Nemotron 3 Super 120B LLM, and inference deployment with NIM or Ollama. The article also notes that while OpenShell offers strong isolation features, no sandbox can provide complete protection against advanced prompt injections, and it is recommended to deploy new tools on isolated systems during testing. (Source: InFoQ)

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GateUser-26f91b48

· 9h ago

The long-term security deployment selling point really resonated with me; I'm always worried about data leaks with cloud API.

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FomoLibrarian

· 11h ago

OpenShell + OpenClaw this combo name sounds like a cyberpunk armory

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0xLateDiner

· 11h ago

Ubuntu 24.04 + Docker 28.x environment requirements are written in such detail, friendly for beginners

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PixelUniverseCat

· 12h ago

Isolation system testing is the baseline; I've seen too many local AI failures before.

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GasFeeAnxiety

· 12h ago

Nemotron 3 Super 120B local run, is this the largest model that can be touched at the consumer level?

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MempoolDaydream

· 12h ago

Downloading 87GB models is discouraging, but running 120B locally is indeed appealing

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SushiSlippage

· 12h ago

Without sandboxing, it can't fully defend against advanced prompt injections. This reminder is very practical; experienced security professionals all understand.

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NVIDIA releases tutorial on building a local sandboxed AI assistant based on NemoClaw

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