The next global battle for artificial intelligence will not only take place in American laboratories. It will also unfold in Montpellier. By the end of 2026, CINES is set to host the first AMD Helios rack expected in Europe: a giant computing cabinet housing 72 accelerators, designed to train and run AI models at a scale previously reserved for a few global players. Behind this technical feat lies a political and economic message: Europe wants direct access to the machines that will determine the digital power of tomorrow.
The announcement comes as AMD seeks to transform its status from a challenger to Nvidia. For years, the AI market has been dominated by its rival’s chips and the CUDA software ecosystem. Helios represents a much broader response than just a new processor: AMD now offers a complete system, from computing to networking, from cooling to software. France will thus be one of the first European grounds where this strategy can be tested by researchers and industry players.
A 72 GPU Machine at the Heart of Montpellier
GENCI, the French public organization responsible for providing high-performance computing resources, plans to deploy an AMD Helios rack at the National Computing Center for Higher Education, CINES, in Montpellier. The installation is scheduled for the end of 2026 and is expected to be the first of its kind in Europe.
The rack combines 72 AMD Instinct MI455X GPUs, sixth-generation EPYC processors, the Pensando network, and the open software stack ROCm. AMD announces exaflop-class computing capacity for AI applications, with a massive amount of high-bandwidth memory. These performances remain theoretical data and claims from the manufacturer; their real value will depend on the models, software, and the teams’ ability to optimize their workloads.
Why Helios is a Direct Response to Nvidia
The novelty is not just the power of each chip. In modern AI, accelerators must work together as a single machine. Data exchanges, memory, networking, and cooling become as important as the GPU itself. This is why AMD presents Helios as a “rack-scale” architecture: the relevant product is no longer an isolated card, but the entire cabinet.
This approach directly targets Nvidia’s integrated systems. According to published specifications and initial technical analyses, AMD particularly emphasizes the memory capacity and openness of its architecture. However, some comparisons still give Nvidia an advantage in terms of the total announced power per rack. The real competition will therefore be measured less on a spectacular number than on operating costs, consumption, availability, reliability, and how easily developers can move their models.
France is Already Preparing for Post-Adastra
Montpellier was not chosen by chance. CINES already hosts Adastra, a supercomputer used for climate research, astrophysics, materials, energy, chemistry, and health. French teams thus have concrete experience with AMD accelerators and environments where traditional scientific computing and artificial intelligence converge.
The Helios rack is set to serve as a gateway to Alice Recoque, the future European exascale system led by the Jules Verne consortium under the guidance of GENCI and CEA, with Dutch and Greek partners. Its deployment at TGCC is planned for the second half of 2027. By providing early access to the next technological generation, Montpellier aims to allow researchers to prepare their codes ahead of the arrival of this much larger infrastructure.
A Real-World Test for European Sovereignty
The word “sovereignty” is often used in discussions about AI, but it becomes concrete when it comes to reserving thousands of GPUs, securing sensitive data, and mastering the software that runs the models. Europe does not yet manufacture all the critical components it needs. However, it can diversify its suppliers, impose open standards, and retain accessible computing capacity on its territory for its universities, laboratories, and certain companies.
Helios will not make Europe independent on its own: AMD remains an American company, and advanced chip manufacturing relies on a global supply chain. But the arrival of a credible alternative prevents a single player from controlling access to infrastructure, software tools, and the pace of upgrades. For public buyers, this competition can also improve commercial conditions and reduce the risk of technological lock-in.
Electricity and Cooling: The Other Battle
A computing cabinet as dense as this cannot be installed like a conventional server. It requires significant electrical power, liquid cooling, and precise data center design. AMD and Schneider Electric have presented a joint reference design to accelerate the deployment of these “AI factories.” The partnership highlights a reality often hidden by chatbot demonstrations: the race for AI is also a race for transformers, pumps, networks, and energy efficiency.
For France, this aspect can become an industrial advantage. Schneider Electric has global expertise in energy management and data centers. However, it also creates a responsibility: a public infrastructure must demonstrate its scientific and economic utility against its energy cost. Success will not be judged by the number of GPUs installed, but by the discoveries, models, and applications actually produced.
What Researchers Will Be Able to Do with It
The uses far exceed conversational assistants. Such a machine can accelerate climate simulation, design new materials, molecular modeling, medical research, or scientific image analysis. It can also help train European models specialized in languages, industry, cybersecurity, and sciences, with data that does not necessarily need to leave the territory.
The challenge will be software. Many teams have built their tools around the Nvidia ecosystem. ROCm is progressing, but adapting libraries, training engineers, and optimizing codes will take time. Early access to the Montpellier rack makes perfect sense here: it should allow difficulties to be detected before the commissioning of future European supercomputers.
The Signal That the Global Market Will Be Watching
Microsoft has already announced that it will be one of Helios’s clients in the second half of 2026, while several manufacturers and cloud operators are preparing their own offerings. If the systems deliver on their promises, AMD could exert new pressure on prices and the closed model that has structured the AI boom. If the software or deliveries disappoint, Nvidia will retain a significant advantage.
This is why the arrival of Helios in Montpellier goes far beyond the technical specifications of a supercomputer. France will test one of the few architectures capable of shifting the global balance of AI infrastructure. The true verdict will come from researchers: their ability to run complex programs, share resources, and transform this power into useful results will determine whether Europe is truly beginning to regain control.
Sources
- GENCI â project to deploy an AMD Helios rack at CINES, July 23, 2026.
- AMD â official Helios solution dossier, July 2026.
- Schneider Electric â energy reference design for AMD Helios, July 23, 2026.
- ITPro â independent analysis of Helios at Advancing AI 2026, July 29, 2026.
- TechRadar Pro â technical comparison with Nvidia, July 29, 2026.
