Artificial intelligence and scientific computing used to be two independent fields with somewhat diverse hardware and various types of calculations. However, a huge new machine that is headed to Berkeley, California, demonstrates how the two areas are gradually combining.
Dell Technologies was chosen by the Department of Energy’s facility at the University of California, Berkeley on Thursday to deliver its next flagship supercomputer in 2026. Nvidia processors designed for AI computations and simulations typical of energy research and other scientific domains will be used in the system.
The new device, which will be named after Berkeley biologist Jennifer Doudna, who won the 2020 Nobel Prize in chemistry, is expected to provide more than 10 times the speed increase of the lab’s most potent existing system, according to Lawrence Berkeley National Laboratory. The computer, when fully equipped, might be the largest resource available to the Energy Department for activities such as training AI models, according to Jonathan Carter, associate laboratory director for computing sciences at the Berkeley facility.
The supercomputer’s technological selections are noteworthy because they show how government laboratories are increasingly interested in using more commercial AI system technologies. The Energy Department turned up Nvidia processors for three prior record-setting machines that were put together by Hewlett Packard Enterprise, despite the fact that they are extensively employed by large cloud firms and in supercomputers. Dell has had success with huge commercial AI systems, but it hasn’t really competed in the top end of the supercomputer market.
“HPE has been sweeping the DOE space,” said Addison Snell, the CEO of Intersect360 Research, which tracks the supercomputer market. “This is a big win for Dell.”
In remarks planned for a Thursday event in Berkeley to reveal the system, Energy Secretary Chris Wright, who has likened the development of AI to the Manhattan Project, referred to the Doudna machine as a crucial instrument for winning the global AI race.
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