She said a company The giant American chips Nvidia today, Monday: It plans to build the most powerful supercomputer in Britain, and it will use artificial intelligence to help researchers solve urgent medical challenges, including those related to the emerging coronavirus (Covid-19) COVID-19.
Nvidia said: GSK and AstraZeneca, who are participating in coronavirus vaccine research, will be among the first pharmaceutical companies to exploit the power of the device.
The company added: The Cambridge-1 supercomputer, which is expected to run online by the end of this year in Cambridge, eastern England, will be the NVIDIA DGX SuperPOD system capable of delivering more than 400 petaflops of artificial intelligence performance. She said: This means that it will be ranked 29th in the list of the 500 best supercomputers in the world.
Referred That said, Cambridge is also the home of ARM – the British chip designer – which Nvidia agreed to buy from Japan’s SoftBank for $ 40 billion.
Nvidia previously said: It intends to establish a center of excellence for artificial intelligence in the university city, to contain a supercomputer based on ARM, and will be a cooperation center for researchers, scientists and startups across the UK. The Cambridge-1 discrete supercomputer will be offered to researchers from industry and academia.
“The Cambridge-1 supercomputer will serve as an innovation hub in the UK, and reinforce the pioneering work of the country’s researchers in critical healthcare and drug discovery,” said Jensen Huang – NVIDIA founder and CEO – in his GPU Technology report.
On Monday, Nvidia also laid out a multi-year plan to create a new type of chip for data centers, aiming to pull more tasks from its main competitor Intel.
She said Nvidia in a press briefing: The limited-feature models will debut within months, while full versions are planned within two years. She added that server companies, such as Dell and Lenovo, plan to integrate them into their devices.
It is noteworthy that Nvidia chips have long been used to improve video game graphics, but in recent years they have helped speed up tasks of artificial intelligence, such as: image recognition. Typically, chips are placed next to the Intel core processor, which can free up some computing work.