Nvidia chief executive Jen-Hsun Huang announced that the company has created a new chip, the Tesla P100, with 15 billion transistors for deep-learning computing. It's the biggest chip ever made, Huang said. Huang made the announcement during his keynote at the GPUTech conference in San Jose, California. He unveiled the chip after he said that deep-learning artificial intelligence chips have already become the company's fastest-growing business. "We are changing so many things in one project," Huang said.
Nvidia Corporation has built a new deep-learning chip, the Tesla P100, with 15 billion transistors for deep-learning computing. CEO Jen-Hsun Huang said that it is the biggest chip ever made. All these features support advanced Artificial Intelligence algorithms. Tech Times notes that the wide range of tech areas could benefit from the speed boost, from drones to robots to autonomous vehicles. Nvidia Corporation also revealed partnerships with server system makers such as Dell, Cray, Hewlett-Packard Enterprise, and IBM.
Every technological gadget and machines rely on chips to perform its operations and activities. One of the leading company, Nvidia has recently announced the launch of Tesla P100, a data centre accelerator of 15 billion transistor chip. It is specifically designed for deep learning AI technology. Nvidia has made the announcement regarding Tesla P100 at the GPU conference held in San Jose, California. Jen-Hsun Huang, the CEO has asserted that Tesla P100 is the world's largest chip till date with 15 billion transistors on a single chip.
An anonymous reader cites a report on VentureBeat: Nvidia chief executive Jen-Hsun Huang announced that the company has created a new chip, the Tesla P100, with 15 billion transistors, 16GB high-bandwidth memory for deep-learning computing. It's the biggest chip ever made, Huang said. "We decided to go all-in on A.I.," Huang said. "This is the largest FinFET chip that has ever been done." The chip has 15 billion transistors, or three times as much as many processors or graphics chips on the market.
Nvidia's fastest GPU yet, the new Tesla P100, will be available in servers next year, the company said. Nvidia is targeting the GPUs at deep-learning systems, in which algorithms aid in the correlation and classification of data. These systems could help self-driving cars, robots and drones identify objects. Two of the world's 10 fastest supercomputers use Nvidia GPUs, according to a list compiled by Top500.org. The Tesla P100 is based on Nvidia's new Pascal architecture.