Artificial intelligence once again "victorious over" humanity, this scene should be Huang Renxun liked to hear, because artificial intelligence is Nvidia's next target area. In the past 2016, Yingwei reached a star for the US stock market, accumulating as much as 224% in the year.

Nvidia was once the "king of graphics cards" in the PC era, and its global market share was as high as 70%. Now, Huang Renxun hopes to refresh history. His confidence comes from the rise of several emerging technology industries such as artificial intelligence, autopilot, VR and games.

Google in the United States hopes to automatically identify images through artificial intelligence and recommend news and entertainment. New energy vehicle manufacturer Tesla hopes to have an efficient data processing center to achieve better driverless driving; "The rise of VR games also puts higher demands on the processing of screen data. A common feature of these emerging products is the need for an efficient and fast computing center as the "brain." Nvidia wants to take on this "brain" role.

In the CES speech, Huang Renxun's theme scope was limited to deep learning, artificial intelligence, autopilot, VR and games. And these key words may construct the vision of Nvidia's future.

"In the future, Nvidia will be transformed into an AI COMPUTING COMPANY, which will continue to dig deep into the potential of the GPU and release the GPU's computing power to contribute to the development of artificial intelligence." Assistant, Jin Yang, President Assistant, reports to the Economic Observer It shows the future transformation goals of Nvidia.

The future picture

In 2016, according to the financial report of Nvidia for the third quarter of fiscal 2017 (as of October 30, 2016), Nvidia’s revenue reached US$2 billion in the quarter, an increase of 54% from US$1.3 billion in the same period of last year.

This performance has set the best quarterly earnings for Nvidia's history. However, this is not a reason for the sudden rise of its stock. In fact, in the past five years, Nvidia's performance has been basically showing an upward trend.

From the fiscal year 2012 (as of the end of January 2012) to the fiscal year 2016 (as of the end of January 2016), Nvidia’s operating income achieved a leap from US$4 billion to US$5 billion, and its net profit also from FY2012 The 580 million U.S. dollars rose gradually to 614 million U.S. dollars in fiscal 2016.

However, during this period, Nvidia's share price did not show a doubling increase. And more important than the performance of Nvidia in the third quarter of FY2017 is that Nvidia has ushered in a wave of artificial intelligence technology.

Since the first GPU (graphics processor) was released in 1999, the GPU has become the core product of Nvidia, and it is the company’s most important source of income. In FY 2016, revenue from GPU accounted for 80% of Nvidia’s total revenue.

It is the long-term research and development in the GPU field that brings hope to Nvidia. As a computer graphics chip, GPUs are good at handling large-scale data calculations and are widely used in game processing, video, and other graphics processing. In 2011, Google’s artificial intelligence project “Google Brain” succeeded in identifying the cat’s image on the Internet by letting computers perform deep learning. However, in the experiment, it was found that the computer needs to use 2,000 CPUs with large power consumption in the identification process, and it is difficult for individuals or SMEs to have such a computer.

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