NemoClaw Tutorial: Run OpenClaw Safely with NVIDIA (Full Setup)
Why It Matters
Running a self‑hosted, token‑protected AI assistant lets enterprises keep sensitive data in‑house while still leveraging powerful language models, reducing reliance on costly cloud AI services.
Key Takeaways
- •Deploy NemoClaw on Hostinger VPS using prebuilt template.
- •Configure OpenAI API and Brave Search for AI model integration.
- •Set up Telegram bot via BotFather for messaging interface.
- •Create firewall rules (ports 80,443) and install Caddy for HTTPS.
- •Secure tokens and enable policy presets for controlled AI actions.
Summary
The video walks viewers through installing NemoClaw, a security wrapper for the OpenClaw AI assistant, on a cloud VPS. Caleb chooses Hostinger’s KVM‑2 plan, which offers 8 GB RAM, 2 vCPU cores, 100 GB NVMe storage and 8 TB bandwidth, positioning it as a cost‑effective alternative to NVIDIA’s platform.
After provisioning the VPS, the tutorial runs the “nemoclaw onboard” command, links an OpenAI API key, selects the “mini” model, and adds Brave Search for web queries. It then creates a Telegram bot via BotFather, captures the bot token and user ID, and links them to the sandbox, enabling real‑time chat from phone or browser.
Caleb highlights security best practices, such as storing gateway and bot tokens offline and enabling firewall rules for ports 80 and 443. He also installs Caddy to provide HTTPS on a custom subdomain and toggles policy presets like brew to expand the assistant’s toolset.
By the end, users have a fully operational, self‑hosted AI assistant with granular access controls, making private data handling feasible for small businesses or developers without relying on third‑party SaaS solutions.
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