NVIDIA has announced plans to invest £40 million to build the UK’s fastest supercomputer which will be used for AI research in the healthcare sector.
The Cambridge-1 will be an NVIDIA DGX SuperPOD system capable of delivering more than 400 petaflops of AI performance and 8 petaflops of Linpack performance. This will give the supercomputer a spot among the world’s 30 most powerful supercomputers, according to Nvidia, and it will also be among the three most energy-efficient supercomputers on the current Green500 list.
“Tackling the world’s most pressing challenges in healthcare requires massively powerful computing resources to harness the capabilities of AI,” said NVIDIA founder and CEO
The University of Cambridge; the highest-ranked U.K. institution on the QS table.
Oliver Benn | Getty Images
LONDON — U.S. chipmaker Nvidia pledged Monday to build a £40 million ($52 million) supercomputer in Cambridge, England, weeks after announcing it intends to buy British rival Arm for $40 billion.
The supercomputer — named “Cambridge-1” and intended for artificial intelligence (AI) research in health care — is being unveiled by Nvidia founder and Chief Executive Jensen Huang at the company’s GTC 2020 conference on Monday.
“Tackling the world’s most pressing challenges in health care requires massively powerful computing resources to harness the capabilities of AI,” Huang will say in his keynote. “The Cambridge-1 supercomputer will serve as a hub of innovation for the U.K., and further the groundbreaking work being done by the nation’s researchers in critical healthcare and drug discovery.”
Expected to launch by the end of the year, the Cambridge-1
“Obviously, we have no idea what really happens when planets collide, because we can’t build planets in the lab and smash them together,” said Jacob Kegerreis, a postdoctoral researcher in a specialist lab at the U.K.’s Durham University called the Institute for Computational Cosmology.
So Kegerreis and his colleagues did the next best thing: They booked time on a supercomputer and used it to run hundreds of simulations of planets crashing into one another — a demolition derby for astrophysics geniuses.
“It’s all about doing calculations,” he told Digital Trends. “There’s no reason you couldn’t do it by hand, it would just take forever. It’s really exactly how video games work. If you’ve got a character — even a 2D one like Mario — and you need them to jump and fall back down under gravity, that means the program has an equation for gravity, and it basically does
TOKYO, Japan, Oct. 1 — Today,AMD and Okinawa Institute of Science and Technology Graduate University (OIST) , announced the deployment of AMD EPYC 7702 processors for use in a new, high performance computing system. The EPYC- processor-based supercomputer will deliver the 2.36 petaflops of computing power OIST plans to use for scientific research at the University.
The Scientific Computing & Data Analysis Section (SCDA) of OIST plans to implement the new supercomputer for supporting OIST computationally intensive research ranging from bioinformatics, computational neuroscience, and physics. SCDA adopted AMD EPYC after significant growth, including a 2X increase in users.
“2020 is a milestone year for OIST with new research units expanding the number of research areas. This growth is driving a significant increase in our computational needs,” said
Eddy Taillefer, Ph.D., Section Leader, Scientific Computing & Data Analysis Section. “Under the common resource model for which the computing system