![\"Nvidia](\"https:\/\/mybroadband.co.za\/news\/wp-content\/uploads\/2021\/07\/Nvidia-Cambridge-1.jpg\")
<\/a>Nvidia Cambridge-1<\/p><\/div>\n
Rather than a single unit, the Cambridge-1 is made up of several modules working together. This parallel processing lets the computer carry out tasks simultaneously, allowing for greater speeds. It was also faster to build, coming together in about a quarter of the time it takes to construct similar machines.<\/p>\n
The supercomputer has a computing capability of more than 400 petaflops. That\u2019s close to the world\u2019s fastest, the Fugaku machine in Japan. Top500, which publishes a twice-yearly list of the fastest supercomputers, included the Cambridge-1 at No. 41 on its most recent ranking, published at the end of June.<\/p>\n
The speed and capabilities that supercomputers offer scientists are crucial as they try to make sense of unprecedented amounts of data. \u201cWe accumulated more data in one quarter in 2020 than in the last 300 years,\u201d said Kim Branson, GSK\u2019s senior vice president and global head of AI-ML.<\/p>\n
The machine, which cost $100 million to build, was announced in October, a month after Nvidia launched a $40 billion bid for semiconductor designer Arm Ltd. Arm\u2019s technology is ubiquitous in smartphones and other consumer electronics, making the deal controversial among Nvidia\u2019s competitors, who rely on the designs. The U.K. has also expressed concerns that selling Arm, which is currently owned by Softbank Group Corp., has national security implications and the country\u2019s competition authority is due to submit a report at the end of the month.<\/p>\n
Nvidia said it\u2019s already developing another supercomputer, which is to be made with Arm technology.<\/p>\n
The Cambridge-1 will be kept at a site run by Kao Data Campus just outside London and about 40 miles south of its namesake city.<\/p>\n
<\/a>Cambridge-1<\/p><\/div>\n
King\u2019s College and London hospital group Guy\u2019s and St Thomas\u2019 will use the new AI capability to learn from MRI scans and then generate synthetic brain images, creating models to help scientists better understand diseases such as dementia, stroke, brain cancer and multiple sclerosis. That could allow for earlier diagnosis and treatment, the university and teaching hospital said.<\/p>\n
Nvidia said it would work with its partners to share the insights gained with the wider scientific community. For example, AstraZeneca will open up one of its projects, an AI-based model for chemical structures to help with drug discovery, to other scientists.<\/p>\n
\u201cCambridge-1 will empower world-leading researchers in business and academia with the ability to perform their life\u2019s work on the U.K.\u2019s most powerful supercomputer, unlocking clues to disease and treatments at a scale and speed previously impossible in the U.K.,\u201d said Jensen Huang, founder and chief executive officer of Nvidia, in a statement.<\/p>\n