NVIDIA's local deployment tutorial is a must-have for teams worried about data going to the cloud. Try running DGX Spark and see how it works.

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NVIDIA releases tutorial on building a local sandboxed AI assistant based on NemoClaw
ME News report. On April 18 (UTC+8), NVIDIA recently released a technical tutorial that guides 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. This stack integrates the OpenShell secure runtime and the OpenClaw self-hosted gateway, aiming to address data privacy and control risks when deploying AI agents on third-party clouds. The tutorial also demonstrates in detail the deployment steps on NVIDIA DGX Spark (GB10) systems, including environment setup, local service models, installing the stack, and connecting to Telegram. Deployment requires specific hardware (DGX Spark running Ubuntu 24.04 LTS) and specific software (Docker
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