Baidu has released its third-quarter financial results, announcing an operating profit of 2.787 billion yuan, up 11 percent year on year. The Chinese search engine giant reported total revenue of 18.253 billion yuan for the third quarter of 2016, with online marketing revenues decreasing by 6.7 percent over last year to come in at 16.49 billion yuan. The partnership combines Nvidia's self-driving computing platform with Baidu's cloud and mapping technology to develop an algorithm-based operating system capable of powering complex navigation systems in autonomous vehicles. In the three months to September 30, 2016, Baidu spent 2.614 billion yuan on research and development.
Compared to using an Intel Xeon E5-2690v4, which was launched earlier this year, Nvidia claimed its offering is 40 times more power efficient while being 45 times faster to respond. "A single server with a single Tesla P4 replaces 13 CPU-only servers for video inferencing workloads, delivering over 8x savings in total cost of ownership, including server and power costs," the company boasted. "Most customers will tell you that a GPU becomes a one-off environment that they need to code and program against, whereas they are running millions of Xeons in their datacentre, and the more they can use single instruction set, single operating system, single operating environment for all of their workloads, the better the performance of lower total cost of operation," she said. Nvidia today also announced its Drive PX 2 platform that is set to be deployed by Baidu in its self-driving car.
Large Internet companies are using it to roll out online services that understand images and speech, and deep-learning chips are being designed into drones, driverless cars, and other products in the much-ballyhooed "Internet of things." But it has taken a commanding lead in the nascent deep-learning market since big Internet companies discovered how well graphics chips could handle AI-related jobs. Knupath, which was started by former NASA chief Dan Goldin, announced an AI chip called Hermosa in June, along with software to link up 512,000 Hermosas and other chips. DJI, the world's largest drone maker, designed a "visual processing unit" made by Movidius into its new Phantom 4 model.
Huang said deep learning will be the basis for the entire computer industry, including data centers and the cloud, for years to come. Huang also said he believes AI and deep learning will transform data centers and cloud services. Rajat Monga, a Google technical lead and manager of TensorFlow, an open source software library for machine learning that was developed at Google, said the company thinks deep learning will infuse every Google service, including new areas such as robotics. It's what he called the world's first car computing platform powered by deep learning.