NVIDIA has launched NemoClaw, a security layer for OpenClaw. Jensen Huang speaks of a "Linux moment" for AI, with a 26 billion dollar investment over five years in open source agents. Appealing on the surface, but the reality on the ground tells another story.
What NemoClaw promises
NemoClaw turns OpenClaw into industrial infrastructure with a single command:
- Complete runtime and pre-integrated models
- Secured sandbox (NVIDIA OpenShell)
- No API keys in plain text
- Privacy Router: a router deciding in real time which tasks run locally and which in the cloud
The tested reality
We run an NVIDIA DGX10 appliance with three 30-billion-parameter LLMs simultaneously (GPU 95%, memory 70%). Here are the results on a full PDF processing job:
| Platform | Time | Stability |
|---|---|---|
| Gemini (cloud) | 2.5 sec | Stable |
| Claude (cloud) | 4 sec | Stable |
| Local 30B | 68 sec | Stable |
| Local 122B | about 5 min | Unstable, memory limit |
The 30B model is 17 times slower than Claude, 27 times slower than Gemini. At 122 billion parameters you enter a zone of critical instability. The promise of 200 billion runs into physical reality.
NVIDIA's hidden strategy
NVIDIA sells chips, not AI. Every token enriches NVIDIA, whether processed locally or in the cloud.
The Privacy Router is strategic: it controls the flow of tokens, steering heavy tasks towards NVIDIA's cloud while promising data sovereignty. Jensen Huang predicts a "token-budget" economy and the automation of 30 to 40 trillion dollars of work. More tokens consumed means more GPUs sold.
Open Cloud is not philanthropy: it is infrastructure lock-in.
For smaller companies
NemoClaw does not solve dependency, it moves it: from OpenAI and Anthropic to NVIDIA. The structure of dependency remains.
Real sovereignty requires:
- An appliance that works without an external router
- No cloud fallback for decisions
- Specialised 30B models with fitting domain building blocks
- A pragmatic approach, not a marketing one
Conclusion
The tech giants excel at spectacular announcements set against operational reality. Test before you believe. When a giant offers you a free tool, ask yourself what it is really selling.