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, estimated 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 prevent advanced prompt injection; testing should be conducted on isolated systems.

MeNews

2026-05-25 09:06:03

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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 demonstrates deployment steps in detail 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 15-30 minutes (approximately 87 GB). Core components include NemoClaw, OpenShell, OpenClaw, Nemotron 3 Super 120B LLM, and inference deployment with NIM or Ollama. The article also notes that although OpenShell provides strong isolation features, no sandbox can offer 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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AutumnTranquility

· 5h ago

Deploying an 87GB model locally, the graphics card is burning out.

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QuietAirdropper

· 16h ago

OpenShell+OpenClaw 这组合名挺帅

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GateUser-94818fd0

· 17h ago

Downloading 87GB is discouraging; is there a lightweight version plan?

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Salt-BakedBabyPotatoes

· 17h ago

NemoClaw receives positive open-source reviews, will go back to study the code.

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TheSkyInsideTheMirroredSphere

· 17h ago

Is there empirical data on the stability of long-term deployment?

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AuroraSnowyWildernessSolitary

· 17h ago

Can you explain in more detail the part about the Telegram bot token?

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ProofOfSnack

· 17h ago

Without sandboxing, it can completely resist advanced prompt injections — this statement is worth highlighting.

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GateUser-953e1a14

· 17h ago

Prompt injection warnings are very real; safety first.

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Don'tCallMeABagHolder.

· 17h ago

Ubuntu 24.04 just released, staying on top of the trend

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SeaSaltMarketMakingNotes

· 17h ago

Docker 28.x requires quite new, old environments need to be upgraded.

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

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