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NVIDIA transforms Paris into the European epicenter of artificial intelligence with its vision of AI factories, autonomous agents, and quantum collaboration.
The recent edition of the GTC 2025 event in Paris has made one thing clear: Europe is no longer just a spectator in the global race for artificial intelligence. With half of the Porte de Versailles venue converted into a technological showcase, NVIDIA has made a strong bet on the continent, focusing on topics like digital sovereignty, industrial AI, autonomous agents, and the future of quantum computing.
In his highly anticipated keynote, Jensen Huang, CEO of NVIDIA, urged European companies to create and operate their own AI rather than just adopting it. A clear message aligning with the European Union’s goals of reducing technological dependency and strengthening strategic autonomy.
From Generative AI to Agent AI: Toward Digital Collaborators
One of the major focuses of the day was the transition from passive AI systems to “agent” systems: artificial intelligence capable of making decisions, acting independently, and improving over time.
For this new paradigm, NVIDIA introduced key tools:
- NeMo Agent: a modular framework for building autonomous agents that plan and reason.
- AI Blueprint: a deployment platform for generative workflows and agents.
- Agentic AI Safety Framework: a model to ensure these systems operate in a safe, ethical, and trustworthy manner.
These developments reflect a shift in mindset: from assistants that respond to commands (co-pilots) to agents that act proactively in customer service, operations, or engineering, learning in real-time and operating autonomously.
AI Factories and the Power of Edge Computing
Another highlighted concept was AI Factories: next-generation data centers equipped with Blackwell GPUs and Omniverse tools, aimed at sectors like automotive, health, and manufacturing.
In this model, edge computing takes center stage. While data centers train models, the edge makes immediate decisions in the physical world, whether on an assembly line, in a vehicle, or on industrial equipment. NVIDIA made it clear that industrial AI relies on both central processing power and the ability to execute critical tasks at the data collection point.
AI and Quantum Computing: The Frontier Approaches
Although still in its early stages, the convergence between AI and quantum computing was another core theme. NVIDIA presented its CUDA-Q proposal integrated into Blackwell systems, along with a collaboration with Denmark’s supercomputer Gefion. This partnership aims to accelerate techniques such as quantum error correction by distributing tasks among specialized quantum processors and traditional GPUs.
The vision is clear: the AI of the future will draw from both classical and quantum computing, depending on the nature of the problem.
From Concept to Practice: Arrow Helps Scale AI
From Arrow Electronics, the analysis is pragmatic. While NVIDIA offers extraordinary capabilities, not all use cases require investment in high-level infrastructure. Many organizations benefit more from modular edge solutions that are scalable and production-ready.
Arrow excels in translating technologies like agent AI or computer vision into deployable industrial systems, managing the entire lifecycle: from selecting the right processor to thermal integration, compliance testing, and system imaging.
“The key is not just to innovate but to turn that innovation into real solutions,” they assert at Arrow.
Conclusion
GTC Paris 2025 has confirmed that European artificial intelligence is booming. NVIDIA’s commitment to the continent aims not only to boost adoption but also to lay the groundwork for a sovereign, decentralized, and productive AI. With tools like NeMo Agent and CUDA-Q, and industrial partners like Arrow, the future of AI in Europe is no longer seen as a promise but as a strategy in motion.
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via: Arrow
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