We have a huge cybersecurity curve. We have script kiddies knocking at the door every five or six seconds. The exascale computing project was really concerned with making sure that we had software and codes that could actually take advantage of the machines once they got here. AI and machine learning might help because we all have a feel for what the weather is like, right? So guess what? You can train machines to have a feels for what it's like as well, but you happen to train it.
Last May, the Oak Ridge National Lab, run by the US Department of Energy, unveiled Frontier–the world's fastest supercomputer. It’s capable of performing a quintillion calculations per second, breaking what's called the exascale barrier.
The system requires its own power plant, 6,000 gallons of water to keep it cool, and a highly trained staff to operate. So what can it do? And who gets to use it?
We set out for Knoxville, Tennessee to try to wrap our brains around Frontier’s limitless potential.
See more about Frontier here: It Takes 6,000 Gallons of Water to Cool the World’s Fastest Supercomputer
Listen to The Big Take podcast every weekday and subscribe to our daily newsletter: https://bloom.bg/3F3EJAK
Have questions or comments for Wes and the team? Reach us at bigtake@bloomberg.net.
See omnystudio.com/listener for privacy information.