Artificial intelligence
Nvidia announces new computer system for AI infrastructure
Jensen Huang, head of the chip company Nvidia, shows the new AI chip Blackwell at the in-house developer conference GTC. The chip company wants to expand its leading role in technology for applications with artificial intelligence. photo
© Andrej Sokolow/dpa
Their new computer system is intended to make AI even more powerful: The US company is announcing the next generation of products and wants to expand its relevance in the industry.
The chip company Nvidia wants to expand its leading role in technology for artificial intelligence applications with a new generation of its computer platform. Company boss Jensen Huang presented the system called Blackwell at the in-house developer conference GTC in San Jose.
Nvidia sees Blackwell as “driving a new industrial revolution” through AI. The system is four times more powerful than the current generation Grace Hopper when it comes to training artificial intelligence. Nvidia’s computer systems dominate AI training in data centers. The group also wants to expand its role in generating content using artificial intelligence.
Super quick process
The “Blackwell” system is 30 times better than “Hopper,” emphasized Huang. Nvidia also has new software for this that can also be used via interfaces via the cloud. Huang was convinced that in the future most content will not be retrieved prefabricated from storage, but that AI software will generate it fresh based on the current situation. Nvidia developed the computer system for this future.
With Grace Hopper, for example, the chatbot ChatGPT could have been trained within three months with 8,000 Nvidia chips and a power consumption of 15 megawatts, said Huang. With Blackwell you can do this in the same time with 2000 chips and 4 megawatts of electricity.
The “AI superchip” is named after the American mathematician David Blackwell. Nvidia also wants to promote the use of so-called “digital twins”, in which companies can simulate their entire business on the computer. In the future, before you build something in the real world, you will first simulate it digitally, emphasized Huang. Nvidia also relies on robots. “Everything that moves will be robotic,” said the company boss. The goal is for robots to be able to learn simply by observing people. “The ChatGPT moment for robotics may be just around the corner,” Huang said.