Empowering Innovation: Deploying interal AI Node with Gemma 4 and NVIDIA Blackwell
We have reached a major technical milestone by deploying an internal AI node powered by Lenovo hardware and NVIDIA RTX 5000 Blackwell. Discover how we are leveraging Gemma 4 and NeMoClaw to prioritize data privacy and developer productivity.
Sébastien Boeyen
Co-founder
We are excited to announce a significant step forward in our company's technical capabilities: the successful deployment of our first internal AI node. By combining high-performance Lenovo hardware with the power of the NVIDIA RTX 5000 Blackwell, we have created a robust environment to run the Gemma 4 model entirely in-house.
**Prioritizing Privacy and Independence**
The driving force behind this initiative was a strategic need for independence. By moving away from reliance on external AI providers, we have secured total control over our data and infrastructure. This shift ensures that our most sensitive information remains private and secure, eliminating the risks associated with third-party data processing.
**Advanced Security with NVIDIA NeMoClaw**
To ensure that our autonomous agents operate safely, we are currently testing NVIDIA NeMoClaw. Built on the OpenClaw stack, NeMoClaw adds a critical security layer via the NVIDIA Agent Toolkit and OpenShell. This allows us to enforce policy-based privacy guardrails, giving us precise control over how our agents behave and handle internal data.
**Transforming the Developer Workflow**
One of the most immediate benefits of this infrastructure is the implementation of a dedicated coding agent. By integrating Gemma 4 directly into our IDEs, our developers can now perform complex coding tasks offline and without additional licensing costs. This not only removes financial barriers but also provides a seamless, uninterrupted workflow for our engineering team.
**Proof of Concept: The AI Journalist**
The system is currently in testing mode, and we have launched our first internal project to validate its efficacy: an AI Journalist designed to generate content for our company blog. The primary goal for this pilot is to significantly reduce the manual editing time required to move from a technical milestone to a published post.
As we continue to refine this node, we look forward to deploying more task-specific internal agents that will drive efficiency across the organization.