Rensselaer Polytechnic Institute is turning one of the most powerful supercomputers in the world against COVID-19. AiMOS, short for Artificial Intelligence Multiprocessing Optimized System, can perform eight quadrillion calculations per second and is uniquely capable of exploring new applications in artificial intelligence. RPI is offering the supercomputer to the research community--including government entities, academic universities, national labs, and private businesses--to support new coronavirus research. To combat the devastating effects of this pandemic, we must be able to fully grasp the complexities and interconnectedness of biological systems and epidemiological data, as researchers work to develop therapeutic interventions and address gaps in our knowledge. AiMOS is the most powerful supercomputer at a private university, the third-most energy-efficient supercomputer in the world, and the 24th most-powerful in the world overall.

Rensselaer Polytechnic Institute is turning one of the most powerful supercomputers in the world against COVID-19. AiMOS, short for Artificial Intelligence Multiprocessing Optimized System, can perform eight quadrillion calculations per second and is uniquely capable of exploring new applications in artificial intelligence. RPI is offering the supercomputer to the research community--including government entities, academic universities, national labs, and private businesses--to support of new coronavirus research. To combat the devastating effects of this pandemic, we must be able to fully grasp the complexities and interconnectedness of biological systems and epidemiological data, as researchers work to develop therapeutic interventions and address gaps in our knowledge. AiMOS is the most powerful supercomputer at a private university, the third-most energy-efficient supercomputer in the world, and the 24th most-powerful in the world overall.

The new TX-GAIA (Green AI Accelerator) computing system at the Lincoln Laboratory Supercomputing Center (LLSC) has been ranked as the most powerful artificial intelligence supercomputer at any university in the world. The ranking comes from TOP500, which publishes a list of the top supercomputers in various categories biannually. The system, which was built by Hewlett Packard Enterprise, combines traditional high-performance computing hardware -- nearly 900 Intel processors -- with hardware optimized for AI applications -- 900 Nvidia graphics processing unit (GPU) accelerators. "We are thrilled by the opportunity to enable researchers across Lincoln and MIT to achieve incredible scientific and engineering breakthroughs," says Jeremy Kepner, a Lincoln Laboratory fellow who heads the LLSC. "TX-GAIA will play a large role in supporting AI, physical simulation, and data analysis across all laboratory missions." TOP500 rankings are based on a LINPACK Benchmark, which is a measure of a system's floating-point computing power, or how fast a computer solves a dense system of linear equations.

The OLCF's recently deployed DGX-1 artificial intelligence supercomputer by NVIDIA, featuring eight NVIDIA Tesla GPUs and NVLink technology, will offer scientists and researchers new opportunities to delve into deep learning technologies. The Oak Ridge Leadership Computing Facility (OLCF) recently deployed a new NVIDIA DGX‑1 artificial intelligence supercomputer to offer scientists and researchers opportunities to delve into deep learning technologies with more vigor than ever before. Deep learning uses neural networks to classify data or predict outcomes by training models on large data sets and by abstracting high-level features or patterns from lower level data. The OLCF is a DOE Office of Science User Facility located at ORNL. Scientists and researchers at the US Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) are using deep learning because of its potential to leverage big data analytics to automate and accelerate the scientific discovery process.