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How Nvidia’s Supercomputers Are Empowering AI in the Fight Against Global Pandemics

NVIDIA’s supercomputers, particularly Selene, have played a pivotal role in accelerating AI-driven research to combat global pandemics. By integrating high-performance computing with advanced AI capabilities, NVIDIA has empowered scientists to expedite drug discovery, model viral structures, and simulate disease spread, significantly enhancing the global response to health crises.Wikipedia+3NVIDIA Blog+3UF Innovate+3

Rapid Deployment of Selene During the Pandemic

In an extraordinary feat, NVIDIA constructed Selene, one of the world’s most powerful supercomputers, in under a month during the early stages of the COVID-19 pandemic. Built upon the DGX SuperPOD architecture, Selene comprises 1,080 AMD EPYC CPUs and 4,320 NVIDIA A100 GPUs, achieving a performance of 63.460 petaflops. This rapid deployment provided researchers with immediate access to immense computational resources, crucial for urgent pandemic-related studies. NVIDIA BlogServeTheHome+2Wikipedia+2SiliconANGLE+2

Accelerating Drug Discovery and Molecular Research

NVIDIA’s collaboration with the COVID-19 High Performance Computing Consortium facilitated the use of Selene and other GPU-accelerated platforms to advance drug discovery efforts. Researchers utilized these resources to perform molecular modeling of the SARS-CoV-2 virus, including creating 3D atomic-scale maps of the spike protein. Such detailed modeling is essential for understanding viral mechanisms and developing effective therapeutics. Tech Solutions Healthcare+2SDxCentral+2NVIDIA Blog+2Tech Solutions Healthcare

Enhancing AI Model Training for Pandemic Response

Selene’s capabilities have significantly reduced the time required to train complex AI models. For instance, training the BERT natural language processing model, which typically takes about 20 minutes on smaller systems, was accomplished in less than 16 seconds on Selene. This acceleration enables rapid analysis of vast datasets, aiding in real-time decision-making during health emergencies. Wikipedia

Supporting Global Collaborative Research Initiatives

Beyond its internal efforts, NVIDIA’s technologies have supported global collaborations like the Exscalate4Cov project. This initiative leveraged supercomputing resources to screen billions of compounds against SARS-CoV-2 protein targets, identifying potential drug candidates. By providing the computational backbone, NVIDIA facilitated large-scale virtual screening campaigns critical for swift therapeutic development. alcf.anl.gov+3Wikipedia+3Tech Solutions Healthcare+3

Conclusion

NVIDIA’s integration of supercomputing and AI has been instrumental in the global fight against pandemics. Through rapid deployment of powerful systems like Selene, acceleration of drug discovery processes, enhancement of AI model training, and support for international research collaborations, NVIDIA has significantly contributed to advancing scientific understanding and response capabilities during health crises.

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