1. Beyond Computation: A Composable AI

Yes, NVIDIA introduced a technological beast: the Blackwell B200 architecture, with computing capabilities that challenge any previous standard.

But what truly 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 enterprise solutions based on AI. What we need is not just power:

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

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
• Ready-to-use containers via NGC or API integration.
• Automatic optimization
• Adapted to NVIDIA’s stack to accelerate inference, 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 Full Stack to Build with Speed

NVIDIA’s vision is consolidating as 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. Learn more 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 unmissable resources:

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

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 by design.

AI is no longer a bet. It is an active business layer.

6. Conclusion: The Value Isn’t 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 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 better orchestrate their stack.