MUNICH – The German Research Center for Artificial Intelligence (DFKI) secures its position as a global leader in Deep Learning applications with the acquisition of Europe’s first NVIDIA DGX-2 supercomputer. Presented by NVIDIA CEO Jensen Huang at the GPU Technology Conference Europe in Munich, the DGX-2 marks a significant milestone in AI computing, empowering DFKI to spearhead groundbreaking research in satellite image analysis and neural network decoding, according to a press release published on EuropaWire.

Prof. Dr. Andreas Dengel, head of DFKI’s Smart Data & Knowledge Services research area, lauds the institution’s enhanced computing capabilities, affirming DFKI’s status as a premier hub for industrial Deep Learning applications. The addition of the DGX-2 bolsters DFKI’s infrastructure, facilitating advanced research in learning systems and accelerating AI-driven innovation across industries.

DFKI’s pioneering work in satellite image analysis for natural disaster monitoring exemplifies the transformative potential of the DGX-2. Equipped with 16 NVIDIA Tesla V100 Tensor Core GPUs, connected via NVSwitch, the DGX-2 boasts unparalleled processing power, enabling the development of novel AI models and the decoding of complex neural network processes.

NVIDIA hails the DGX-2 as the world’s most powerful AI system, with 2PetaFLOPS performance and a throughput of 2.5 TB per second. This breakthrough technology transcends conventional computing boundaries, empowering researchers to tackle the most intricate AI challenges and scale their models without constraints.

Funded by the state of Rhineland-Palatinate, the expansion of DFKI’s machine learning infrastructure underscores Germany’s commitment to advancing Deep Learning research and fostering technological innovation. As DFKI continues to push the boundaries of AI research, the collaboration with NVIDIA represents a milestone in Europe’s AI landscape, paving the way for transformative advancements in learning and autonomous systems.

For more information, visit the GPU Technology Conference 2018 and explore NVIDIA’s Deep Learning initiatives.