NVIDIA GmbH

Their core work

NVIDIA GmbH is the German subsidiary of NVIDIA Corporation, the world's leading GPU and accelerated computing company. In H2020, their Wuerselen office contributed GPU computing expertise and high-performance computing infrastructure to Marie Skłodowska-Curie training networks. Their involvement spans computational physics, multiscale simulation, 3D visualization, and lattice quantum chromodynamics — all domains where GPU acceleration is essential. They served exclusively as a third-party contributor, providing industry-grade computing resources and mentorship to early-stage researchers.

What they specialise in

How they've shifted over time

NVIDIA GmbH's early H2020 involvement (2018) centered on traditional scientific computing — computational fluid dynamics, molecular dynamics, and applied mathematics through STIMULATE and COSINE. By 2019, their participation expanded into two divergent directions: advanced visual computing (3D displays, telepresence, computational fabrication via EVOCATION) and extreme-scale particle physics computing (EuroPLEx). This broadening reflects NVIDIA's growing relevance across both visualization and fundamental science computing.

NVIDIA is expanding from pure number-crunching into visual computing and real-time 3D applications, suggesting future collaborations could tap into both simulation and immersive visualization capabilities.

How they like to work

NVIDIA GmbH participates exclusively as a third-party contributor — they join through existing consortium members rather than as direct partners or coordinators. This is typical for large technology companies that provide infrastructure, tools, or specialized mentorship without taking on project management responsibilities. With 60 unique partners across 17 countries, they connect broadly but lightly, offering industry expertise to academic-led training networks rather than embedding deeply in any single consortium.

Through their four MSCA training networks, NVIDIA GmbH connects with 60 unique partners across 17 countries, giving them a wide but shallow European network concentrated in the academic and research institute community.

What sets them apart

NVIDIA is one of very few global GPU hardware and software companies participating in H2020 training networks, giving them a unique position as an industry bridge for early-stage researchers. Their involvement signals to consortia that GPU-accelerated computing is central to the project's methodology. For consortium builders, having NVIDIA as a third party adds immediate credibility in any proposal involving high-performance computing, AI training, or real-time visualization.

Highlights from their portfolio

• EuroPLEx
  Connects extreme-scale GPU computing with fundamental particle physics, representing NVIDIA's deepest engagement with theoretical physics research in Europe.
• EVOCATION
  Spans the full pipeline from 3D capture to display and fabrication, showcasing NVIDIA's visual computing capabilities beyond traditional scientific simulation.