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NVIDIA’s strategy: AI-driven acceleration of high-performance computing

NVIDIA is cementing its dominance in high-performance computing (HPC) with custom-designed architectures such as the Grace Hopper Superchip, which combines high-bandwidth memory with CPU and GPU integration for tightly coupled performance.

NVIDIA H100 Tensor Core GPUs
NVIDIA H100 Tensor Core GPUs

HPE is partnering with NVIDIA to deliver the Blue Lion system, combining chips with architecture at the Leibniz Supercomputing Centre in Germany.

This is exemplified by:

JUPITER Supercomputer: Europe’s first exascale system, built with nearly 24,000 GH200 Superchips, delivering over 1 quintillion FP64 operations per second.

Blue Lion Supercomputer (planned for 2027): To be powered by next-gen “Vera Rubin” chips, demonstrating NVIDIA’s ongoing innovation pipeline.

Full-Stack Software Integration

Unlike traditional chip vendors, NVIDIA integrates a full AI and HPC software stack with its hardware to enhance usability, performance, and development flexibility. This includes:

CUDA-X, cuQuantum, CUDA-Q, and BioNeMo for scientific, quantum, and biosciences workloads.

Earth-2 platform and Climate in a Bottle AI model for environmental and climate modeling, offering hybrid AI-physics simulations with faster-than-traditional runtimes.

AI as a Strategic Differentiator in HPC

NVIDIA is actively transforming the HPC paradigm by advocating for AI-powered approximation models that can speed up research without sacrificing scientific integrity. In climate science, for example, AI can forecast decades ahead using sparse inputs, enabling scalable analysis that classical simulation alone cannot achieve.

Energy-Efficient Performance

JUPITER sets a new benchmark not only in speed but also in energy efficiency, achieving 60 gigaflops per watt — critical for sustainability in large-scale computing systems.

HPE’s Strategy: Infrastructure and System Integration Leadership

Scalable Modular Supercomputing

HPE’s strategy revolves around being the primary system integrator and infrastructure provider for large-scale supercomputing projects. Through its Cray and HPE Apollo platforms, and recent collaborations with Eviden (Atos Group), HPE delivers custom architectures optimized for both performance and modularity.

Liquid Cooling and Green Computing

As part of its sustainability focus, HPE leverages advanced liquid-cooled architectures like the BullSequana XH3000 used in JUPITER to reduce power consumption while managing high-density compute loads.

HPC-as-a-Service and Democratization

HPE’s long-term vision includes HPC-as-a-Service through HPE GreenLake, making high-performance computing accessible to a wider range of research and industrial institutions. This model complements traditional installations by offering scalable capacity without upfront infrastructure investment.

Government and Research Collaborations

HPE is actively expanding its influence by working closely with governments, research institutions, and pan-European initiatives like EuroHPC, positioning itself as a trusted partner in national and continental digital sovereignty goals.

Together, NVIDIA and HPE are shaping the next era of supercomputing through:

Joint ventures like Blue Lion and JUPITER, showcasing synergistic hardware-software integration.

A dual emphasis on classic simulations and AI-enhanced predictive modeling for faster and broader scientific exploration.

A commitment to scalable, energy-efficient, and modular HPC systems, enabling future-ready performance for quantum computing, drug discovery, climate science, and AI foundation models.

NVIDIA and HPE are advancing a complementary, future-proof strategy in the supercomputing sector. NVIDIA brings AI-driven acceleration and silicon innovation, while HPE offers scalable system design, integration, and infrastructure expertise. As the race for exascale computing and AI-enhanced scientific discovery accelerates globally, this partnership is poised to lead the next generation of computational capability — transforming industries and redefining research.

Rajani Baburajan

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