The relationship between Gpus and artificial intelligence
“Nvidia, an ai computing company.”
“Said Jen-Hsun Huang, CEO of Nvidia (NVDA), at a Baidu conference last week.
At the Baidu conference, Huang also announced that Nvidia will work with Baidu on self-driving cars. What NVIDIA has come up with is a deep learning platform called NVIDIA DRIVE PX that can process all the data collected from the car’s cameras and sensors, run an operating system programmed with algorithms written by ARTIFICIAL intelligence, and update high-definition 3-D maps stored in the cloud in real time.
Artificial intelligence is hot these days, and Nvidia is making more money making graphics processors (Gpus). In the second quarter of 2016, revenue rose 24 percent from a year earlier to $1.43 billion.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include editing robots, writing robots and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
The data center division grew 109% year-over-year thanks to strong demand for Gpus in deep learning systems, which is the main reason for the above-expected growth in their earnings report.
Earlier this year, Huang said that Google, Facebook and Microsoft are using Nvidia Gpus for deep learning, such as recognizing images and automatically tagging them and recommending news content based on user preferences.
Nvidia began its ai research around 2011. Working with Stanford university’s Andrew Ng’s team, they discovered that the deep learning capacity of 12 Gpus is equivalent to the performance of 2,000 cpus at the same time, which is one of the reasons Nvidia decided to push for gPU-accelerated computing.
The recent wave of AI startups has also been made possible by the improvement of GPU computing power. Since the second half of 2015, venture capital investment in startups has fallen to its lowest level since 2011, according to data from CB Insights, but investment in ARTIFICIAL intelligence has continued unabated.
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
In 2015, a total of 397 investments in AI companies raised $2.38 billion, nine times the amount in 2011.
Nvidia is one of the companies benefiting from the boom.
“Because people need to process a lot of information quickly. Just teaching companies how to use AI could be big business.” Diane Greene, head of Google’s computing engine, once said.