Powerful Supercomputing to Propel France’s High-Performance Computing (HPC) & Artificial Intelligence (AI) Research and Development



  • HPE builds GENCI fastest supercomputer for France drive nation’s AI R&D efforts 
  • New supercomputer, called Jean Zay, will have a peak performance of 14 petaFLOPS, powering faster, improved simulations and scalable AI workloads
  • The design and delivery of Jean Zay is a direct response to the French government’s vision and  strategy for France’s AI initiatives 

HPE and GENCI are delivering a new supercomputer to address call for action issued by President of France Emmanuel Macron to support nation’s AI initiatives

Artificial intelligence (AI) is rapidly influencing the next wave of digital experiences, and in France, we see it as a major opportunity for scientific and economic growth. By empowering the nation’s robust pool of talent with powerful compute technologies that target various, AI and analytics applications we see emerging, we believe France has the potential to be a driving force of AI efforts for the European market.

At Hewlett Packard Enterprise, we continue to fuel the next frontier and unlock discoveries with our end-to-end HPC and AI offerings that hold a strong presence in France and have been further strengthened just in the past couple of years.

These developments include the HPE Artificial Intelligence Marketplace, a first-of-its-kind ecosystem in France of AI hardware and software solution providers for start-ups and enterprises, and the HPE HPC and AI Center of Excellence in Grenoble, a center of HPC and AI experts and tools to accelerate time-to-market of new products. Most recently, as announced by the French government, HPE has collaborated within the framework of a competitive dialogue with GENCI, the French national infrastructure for HPC resources and facilities, to build France a fast-performing supercomputer to serve as a converged platform of HPC and AI capabilities to advance the nation’s research in those areas and bolster innovation.

Last week, I had the pleasure of joining the French Minister for Higher Education, Research and Innovation, Frédérique Vidal, Phillippe Lavocat, CEO at GENCI and Antoine Petit, CEO at CNRS (The French National Center for Scientific Research), in signing an agreement to build the new supercomputer. This project directly supports France’s investment in AI as outlined in a broader strategy by President of France Emmanuel Macron and Frederique Vidal, which includes a supercomputer specifically designed to power a range of AI applications and enable researchers’ facilitated access to a European cloud service.1

The new supercomputer, which GENCI and CNRS (The French National Center for Scientific Research) have named Jean Zay, will focus on research across fundamental physical sciences such as particle physics and cosmology, and biological sciences, to foster discoveries in fusion energy, space exploration and climate forecasting while also empowering applied research to optimize areas like combustion engines for automobiles and planes, pharmaceutical drugs, and solutions for natural disasters and disease pandemics.

The focus on these research areas support President Macron’s strategy for boosting the nation’s economic development and competitive advantage when improved sciences can be applied to the nation’s “priority sectors” such as healthcare, transportation, environment.¹

Supercomputing has tremendous potential to accelerate innovation in AI for public and private sectors here in France and we are building a fast, powerful machine for GENCI to become France’s leading supercomputing research and development center for AI.

With Jean Zay, we are enabling researchers to power faster, improved simulations like simulated events that can impact a nation’s environment, such as forest fires or a major earthquake’s aftershock. Detailed insight like this helps inform decision-makers to implement preventative tactics for more sustainable infrastructure that can reduce risks of destruction and fatalities.

The system will be open to France’s research communities to power scalable HPC and AI workloads, and lay a foundation for developing new methods to unlocking insight from larger, complex data, whether it be from physical particle samples or sensory data from IoT-enabled machines.

Jean Zay will have a peak performance of 14 petaFLOPS and will be based on the HPE SGI 8600, a purpose-built high-performance computing (HPC) platform. It will converge the following powerful HPC and AI technologies to support machine learning and AI applications, along with improvement to traditional HPC workloads like modeling and simulation:

  • CPU and GPU Parallel Computing: To run various compute processors in parallel with up to four 100 Gbs links per node, we are using a single HPC interconnection network, the Intel® Omni-Path Architecture (Intel® OPA), powering 1,528 nodes of Intel® Xeon® Scalable processors for scalable compute performance and 261 nodes with 4 latest NVIDIA® Tesla® V100 32GB GPUs per node, for a total of 1044 GPUs.

  • Faster Simulation with Flash Storage Technology: We are enabling a read/write capacity of more than 300 GB per second to power faster simulations by integrating innovative flash storage capabilities with the HPE SGI 8600, an end-to-end HPC system, with support from DataDirect Network solutions.

  • Improved Rendering Time with Cooling DLC (Direct Liquid Cooling): Through an HPC-specific cooling solution, Jean Zay’s computing power is optimized to enable faster rendering times for simulations while also reducing energy consumption.

Jean Zay will be installed at the Institut du Développement et des Ressources en Informatique Scientifique (IDRIS), a computing center that is part of the Centre National de la Recherché Scientifique (CNRS), in June 2019 and put into production use by October 2019.

We look forward to collaborating with GENCI to support its mission in advancing France’s HPC and AI efforts.

1 President of France Emmanuel Macron shared vision for nation’s AI initiatives at AI for Humanity in March 2018


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