1. Beyond Computing: An AI That Is Composed
   Yes, NVIDIA introduced a technological beast: the Blackwell B200 architecture, with computing capabilities that challenge every previous standard.

But what really shook us as a team was a less noisy, more structural layer:

the software infrastructure that allows artificial intelligence to be composed in a modular, governed, and scalable way.

At Meridian, we design AI-based business solutions. What we need is not just power:

We need zero friction to deploy copilots, intelligent agents, and automated workflows.

2. NIMs: The Invisible Link That Brings AI to Production
   NVIDIA Inference Microservices (NIMs) changed the way we work.

Thanks to them, we can now turn complex models like LLMs or vision classifiers into production-ready microservices, without reinventing the wheel.

What do NIMs enable?

Immediate deployment
Use models like LLaMA, Mistral, or Gemma as configurable services.

Universal format
Containers ready via NGC or API integration.

Automatic optimization
Adapted to the NVIDIA stack to accelerate inferences, without retraining.

Practical example: we can launch a legal copilot trained on internal documents, deploy it in a secure environment, and scale it in minutes, not weeks.

3. A Complete Stack to Compose with Speed
   NVIDIA’s vision is consolidating into a comprehensive platform for enterprise AI. These tools make it possible:

Service or tool – What it enables
AI Foundry – Train, fine-tune, and deploy foundational models.
Omniverse Cloud APIs – Simulate environments, vision, and logic for physical/digital agents.
Project GROOT – Create humanoid agents that learn in a multimodal way.
NVIDIA API Catalog – Explore ready-to-integrate APIs.

All of this can be connected, orchestrated, and deployed within the same ecosystem. And that, in times of chaotic integration, is worth gold.

4. Useful Resources Worth Saving
   If you're exploring how to implement AI in your business, here are must-have resources:

• 📘 NVIDIA Inception Program for startups
• 📘 Official technical guide on NIMs
• 📘 AI Foundations Overview
• 📺 Jensen Huang Keynote GTC 2025

5. What Does This Mean for Us as a Company?
   At Meridian, we see it clearly: this new infrastructure gives us three superpowers as a technical and strategic team:

✅ Speed:
We can compose AI products in days, not months.

✅ Portability:
Move services between edge, cloud, or local environments, without redesigning anything.

✅ Governance:
With layers like Governance Fabric, we ensure privacy, traceability, and security from the design stage.

AI is no longer a gamble. It's an active business layer.

6. Conclusion: The Value Is Not in Having AI. It’s in Knowing How to Use It.
   GTC 2025 didn’t bring us a new AI. It brought us the manual to use it as critical infrastructure, not as an experiment.

At Meridian, we don’t want to build just another AI. We want to build intelligence that acts, learns, and generates real value—at scale and in a governed way.

Because the differentiator will no longer be who has more GPUs, but who knows how to best orchestrate their stack.