CINAURA‑Kraken: Grenoble’s New Supercomputer Drives Sustainable Scientific Innovation

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Grenoble Launches Cutting-Edge Supercomputer to Drive Scientific Advancement

Grenoble, France – On January 27, 2026, the scientific community of Grenoble inaugurated CINAURA-Kraken, a powerful new supercomputer designed to considerably enhance local capabilities in intensive computing and data analytics. The new computing cluster, located at the Laboratory of Subatomic Physics and cosmology (LPSC), represents a major investment in the region’s research infrastructure.

Meeting the Growing Demand for Computational Power

The demand for high-performance computing is surging across numerous scientific disciplines. Digital simulation, advanced modeling, the processing of massive datasets, and the progress of artificial intelligence are increasingly central to knowledge creation, extending far beyond conventional computer science fields. CINAURA-Kraken aims to provide researchers with the tools they need to meet these escalating computational needs, ensuring sustained progress in their work.

Technical Specifications and Capabilities

CINAURA-Kraken boasts a computing power of approximately eight

What are the main sustainability features of the CINAURA‑Kraken supercomputer?

CINAURA‑Kraken: Grenoble’s new Supercomputer Drives Sustainable Scientific Innovation

Grenoble, France, is rapidly solidifying its position as a European hub for high-performance computing (HPC). The latest development – the CINAURA‑kraken supercomputer – isn’t just about raw processing power; it’s a strategic investment in sustainable scientific advancement. This next-generation machine, a collaborative effort between Université Grenoble Alpes and GENCI (Grand Équipement National de Calcul Intensif), promises to accelerate research across diverse fields, all while minimizing environmental impact.

unveiling CINAURA‑Kraken’s Architecture & Capabilities

CINAURA‑Kraken isn’t a single entity,but a hybrid system designed for versatility.It combines two distinct architectures to tackle a wider range of computational challenges:

* CINAURA: Built around AMD EPYC 9654 processors and AMD Instinct MI300X GPUs, CINAURA focuses on accelerating Artificial Intelligence (AI) and Machine Learning (ML) workloads. Its architecture is optimized for large-scale model training and inference, crucial for advancements in areas like drug discovery and climate modeling.

* Kraken: Utilizing Intel Xeon Scalable processors and NVIDIA H100 GPUs, Kraken is geared towards conventional HPC simulations. This component excels in areas requiring high precision and complex physics calculations,such as computational fluid dynamics and materials science.

This dual-architecture approach allows researchers to select the optimal platform for their specific needs,maximizing efficiency and reducing energy consumption. The system boasts a peak performance exceeding 1 Exaflop, placing it among the most powerful supercomputers in Europe.

Powering Sustainable Research: A Focus on Energy Efficiency

Traditional supercomputers are notorious energy hogs. CINAURA‑Kraken directly addresses this concern through several innovative strategies:

* Direct Liquid Cooling: A sophisticated direct liquid cooling system efficiently removes heat generated by the processors and GPUs. This considerably reduces the energy required for cooling, a major contributor to a supercomputer’s overall power consumption.

* Waste heat Recovery: The heat captured by the cooling system isn’t simply dissipated. It’s being integrated into Grenoble’s urban heating network, providing a sustainable source of warmth for local buildings. This innovative approach transforms waste into a valuable resource.

* Optimized Power Management: Advanced power management software dynamically adjusts power consumption based on workload demands, further minimizing energy waste.

These features contribute to a Power Usage Effectiveness (PUE) significantly lower than that of older generation supercomputers, making CINAURA‑Kraken a leader in green computing.

Applications Driving Innovation

The potential applications of CINAURA‑Kraken are vast and span numerous scientific disciplines. Here are a few key areas where the supercomputer is already making an impact:

* Climate Modeling: More accurate climate models are essential for understanding and mitigating the effects of climate change. CINAURA‑Kraken’s processing power enables researchers to simulate complex climate systems with unprecedented detail.

* Drug Discovery: accelerating the drug discovery process is critical for addressing global health challenges. The supercomputer facilitates virtual screening of drug candidates and molecular dynamics simulations, identifying promising compounds more quickly and efficiently.

* Materials science: Designing new materials with specific properties requires computationally intensive simulations. CINAURA‑Kraken allows researchers to explore the atomic-level behavior of materials, leading to breakthroughs in areas like energy storage and aerospace engineering.

* Fundamental Physics: Simulating complex physical phenomena, such as the behavior of particles in high-energy collisions, demands immense computational resources.CINAURA‑Kraken provides the necessary power to push the boundaries of our understanding of the universe.

* Artificial Intelligence & Machine Learning: Training large language models and developing advanced AI algorithms requires significant computational infrastructure.CINAURA’s specialized architecture is perfectly suited for these tasks.

Grenoble’s HPC Ecosystem: A Collaborative Approach

CINAURA‑Kraken isn’t operating in isolation. It’s a key component of Grenoble’s thriving HPC ecosystem,which includes:

* Université grenoble Alpes: Providing the academic expertise and research leadership.

* GENCI: Managing the national supercomputing infrastructure and ensuring access for researchers across France.

* Local industry Partners: Collaborating on the development and deployment of HPC technologies.

This collaborative environment fosters innovation and accelerates the translation of research findings into real-world applications. The region’s commitment to HPC is attracting talent and investment, further solidifying Grenoble’s position as a global leader in scientific computing.

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