NVIDIA
The official handle for NVIDIA.
5.0•17 reviews•1.9K followers
The official handle for NVIDIA.
5.0•17 reviews•1.9K followers
NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. We created the world’s largest gaming platform and the world’s fastest supercomputer. We are the brains of self-driving cars, intelligent machines, and IoT.
This is the 29th launch from NVIDIA. View more
NVIDIA NemoClaw
Launched this week
NVIDIA NemoClaw is an open source stack that simplifies running OpenClaw always-on assistants safely. It installs the NVIDIA OpenShell runtime, part of NVIDIA Agent Toolkit, a secure environment for running autonomous agents, with inference routed through NVIDIA cloud.
Free
Launch Team
Congrats on the launch! 🎉 The safety-first angle on autonomous agents is the right call — I’ve seen several threads here on Product Hunt lately where AI safety keeps coming up as the #1 concern for builders. Most teams are still cobbling guardrails together from scratch, so having this baked into the stack is a real unlock. Curious how NemoClaw handles edge cases where agent decisions conflict with safety boundaries — graceful degradation or developer-facing alerts? Building OceanMind, an AI-powered breathwork app, and exploring this kind of infrastructure for personalized agent flows.
Agent safety is one of those things that sounds obvious until you try to implement it without crippling the agent usefulness. I keep running into the same tension when building with AI: the guardrails that prevent bad outputs also kill the edge cases that make agents actually useful. Does NemoClaw approach this as policy rules (static constraints) or is there something more dynamic going on - like runtime monitoring that can distinguish "risky but intended" from "risky and wrong"?