Nvidia wants to dominate the AI cloud arms race
Its new chip platform, unveiled in Taiwan, combines AI and high-performance computing.
The news: SiliconAngle reports that Nvidia, which makes super-fast GPU chips often used in gaming, has launched HGX-2, which combines 16 advanced GPUs to handle AI tasks in the cloud.
The need for speed: AI systems train on lots of data. The faster they can crunch numbers, the better. Nvidia says its new platform has hit record training speeds of 15,500 images a second.
The competition: Other companies are gunning for the AI cloud market too. Intel is working on dedicated AI chips, and some AI-powered firms like Facebook are making their own.
Why this matters: Beefing up cloud computing power for AI will help accelerate advances in everything from policing online content to guiding self-driving cars.
Deep Dive
Computing
Inside the hunt for new physics at the world’s largest particle collider
The Large Hadron Collider hasn’t seen any new particles since the discovery of the Higgs boson in 2012. Here’s what researchers are trying to do about it.
How ASML took over the chipmaking chessboard
MIT Technology Review sat down with outgoing CTO Martin van den Brink to talk about the company’s rise to dominance and the life and death of Moore’s Law.
How Wi-Fi sensing became usable tech
After a decade of obscurity, the technology is being used to track people’s movements.
Algorithms are everywhere
Three new books warn against turning into the person the algorithm thinks you are.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.