All three projects (ESCAPE, MELLODDY, Rising STARS) rely on HPC and accelerator technologies for scalable computation.
NVIDIA SWITZERLAND AG
Global GPU computing leader providing high-performance computing infrastructure, parallel programming expertise, and AI acceleration to European research consortia.
Their core work
NVIDIA Switzerland AG is the Swiss arm of the global GPU computing leader, contributing high-performance computing (HPC) and accelerator expertise to European research consortia. In H2020 projects, they provide GPU hardware knowledge, parallel programming models, and deep learning infrastructure for applications ranging from weather prediction to drug discovery. Their role centers on enabling other partners to run computationally intensive workloads on GPU-accelerated platforms, making them a key technology provider rather than a domain researcher.
What they specialise in
Rising STARS focuses on parallel programming models and time predictability; ESCAPE addressed scalable algorithms on accelerators.
MELLODDY applied federated learning with privacy by design for multi-party drug discovery without sharing raw data.
MELLODDY used deep learning for activity prediction and ADME prediction in pharmaceutical applications.
ESCAPE developed energy-efficient scalable algorithms for weather prediction at exascale on GPU accelerators.
How they've shifted over time
Early H2020 participation (2015–2018) focused squarely on numerical HPC — weather prediction, benchmarking, and accelerator optimization through ESCAPE. From 2019 onward, their involvement shifted toward AI and machine learning applications: federated learning for pharmaceutical R&D (MELLODDY) and heterogeneous computing for cyber-physical systems (Rising STARS). This reflects NVIDIA's broader corporate pivot from pure GPU compute toward AI infrastructure and domain-specific deep learning platforms.
NVIDIA Switzerland is moving from raw computational acceleration toward AI-enabled solutions in regulated industries like pharma, making them a strong partner for projects needing privacy-preserving machine learning at scale.
How they like to work
NVIDIA Switzerland participates exclusively as a consortium partner, never as coordinator — consistent with a large technology company contributing specialized infrastructure rather than leading research agendas. With 40 unique partners across 15 countries in just 3 projects, they join large, multi-national consortia where their GPU and AI expertise complements domain specialists. This makes them accessible as a technology enabler but unlikely to drive project design or administrative leadership.
Despite only 3 projects, NVIDIA Switzerland has touched 40 unique partners in 15 countries, reflecting participation in large consortia with broad European reach. Their network spans academia, pharma, and HPC research centers across Western and Central Europe.
What sets them apart
As the Swiss subsidiary of the world's dominant GPU computing company, NVIDIA brings unmatched hardware-software integration for accelerated computing that no academic or SME partner can replicate. They are one of very few industrial partners that can provide both the physical accelerator infrastructure and the programming frameworks (CUDA, parallel models) needed to run large-scale AI and simulation workloads. For any consortium needing serious compute muscle with industry-grade support, NVIDIA is the obvious choice.
Highlights from their portfolio
- MELLODDYLandmark federated learning project in pharma — 10 pharmaceutical companies trained shared AI models for drug discovery without exposing proprietary data, a first-of-its-kind collaboration.
- ESCAPETackled the fundamental challenge of making weather prediction algorithms energy-efficient at exascale, directly relevant to climate modeling infrastructure.
- Rising STARSLong-running MSCA network (2020–2025) bridging HPC and real-time systems, connecting NVIDIA with the next generation of researchers in heterogeneous computing.