Nvidia is not dependent on "nuclear bomb" of graphics factory: building own empire-Nvidia, Jen-Hsun Huang, graphics-IT information

In the past 12 months, shares of Nvidia rose 113%, in 2017 while its fiscal first-quarter revenue rose as high as 13%. Nvidia CEO Jen-Hsun Huang said, all of the company's platform has grown. Then, under the persistent downturn in the PC industry, what Nvidia can of a virtuous circle of growth in it? In fact, we need only look at Nvidia are more business three to arrive at the answer.

Continue to take advantage of NVIDIA graphics cards

As for Nvidia, by far the most important and biggest advantage is a graphics processing unit (GPU) business, its desktop video cards currently accounting for up to 76% of the desktop market share, and the business has continued to grow.

Most of Nvidia video cards revenues from gaming, compared with 17% last year in that area. If this trend predictably Pascal Pascal schema new Nvidia graphics cards, will be incalculable and a handsome income. Pascal currently Nvidia video card have begun to stress distribution, currently scheduled for consumers than ever before.

In addition, Pascal helped Nvidia video card is not only boosting revenues, but also to pave the way for the VR virtual display area. Even though the GeForce GTX 970 and 980 is sufficient to cope with the Oculus in the PC HTC Vive and Rift, but Pascal graphics takes this further enhances capabilities, including around the room and improve the performance of virtual audio, VR virtual reality experience becoming more realistic.

TrendForce expects only United States local, virtual reality by 2020 is expected to reach 70 billion-dollar size of the market, this continued the huge space of Nvidia continues to grow.

Step into the automotive sector

Nvidia in the automotive sector is still only newbie, although there is no change to a lot of money, but the most recent quarter increased by 8.6%. In order to get a higher rate of growth, Nvidia has taken a much more sensible approach, namely to self-driving car technology as fulcrum for growth.

Currently Nvidia has launched their own second generation driverless car platform, called Drive PX 2, and cooperation with more than 80 auto manufacturers and suppliers, tests and attempts to accelerate the application of the technology. In addition, Nvidia has also recently launched the SGX-1 supercomputer, which can Drive PX 2 pairs, automatically driving data real-time processing in the cloud.

In addition to automatic driving technologies, Nvidia processors also use in-vehicle information system, rose most sharply in the field, up to 47%.

Expansion of machine learning business

"Machine learning" is an indispensable key part of artificial intelligence, technology involved is really too much, but with identifying information and intelligent response from the object-oriented, rather than programming intervention. Many high-tech giants, GPU is more and more used to promote the machine's ability to learn. For example, Facebook use Nvidia's Tesla M40 GPU to help enhance the learning ability of Big Sur robot.

Nvidia said earlier that its deep neural network technology helps to make machine learning 10 to 20 times faster than a traditional double within just a few hours to learn new information, rather than a few days or a few weeks . Tesla P100 new GPU GPU is currently being developed by Nvidia, is expected to be mainly used in the enterprise data center business, some analysts expect market by 2018 for Nvidia in machine learning, received more than $ 12 billion in revenue.

In short, games continue to be Nvidia gets a large number of sources of income, total income exceeds 52%, automotive and machine learning, it means that Nvidia does not want to depend on the determination of the desktop video market and trying to establish non-traditional hardware manufacturer's Empire .

Nvidia不是依赖“核弹”的显卡制造厂： 正建自主帝国 - Nvidia,黄仁勋,显卡 - IT资讯

过去12个月时间里，Nvidia的股价涨了113%，同时其在2017年财年第一财季的营收同比增长高达13%。Nvidia首席执行官黄仁勋表示，公司所有的平台都出现了增长。那么，在PC行业持续低迷的情况下，Nvidia究竟为何能够处于良性的增长中呢？实际上，我们只要看看Nvidia正在经营的多个业务中的三个就能得出答案。

持续占据优势的NVIDIA显卡

对于Nvidia而言，目前最重要同时优势也最大的当属图形处理单元（GPU）业务，目前其桌面显卡占据桌面市场高达76%的市场份额，而且该业务仍在不断的增长当中。

Nvidia的大部分显卡营收来源于游戏领域，在该领域同比去年增长了17%。若照此趋势，可以预见Nvidia新发布的Pascal帕斯卡架构显卡，将为其带来不可估量的又一笔可观的收入。目前Nvidia的帕斯卡显卡已经开始紧张铺货当中，目前预定的消费者远高于以往。

另外，帕斯卡显卡不仅能够帮助Nvidia提高营收，而且还有助于其在VR虚拟显示领域铺平道路。尽管目前GeForce GTX 970和980已经足以在PC上应付Oculus Rift和HTC Vive，但是帕斯卡显卡借此进一步增强了功能，包括模拟周围显示房间和提升虚拟音频的性能，使得VR虚拟现实的体验变得更加逼真。

此前TrendForce预计，仅美国当地，虚拟现实市场到2020年有望达到700亿美元的规模，这无疑继续了Nvidia持续增长的巨大空间。

踏入汽车领域

Nvidia在汽车领域至今仍只能算是新手，虽然没有在换到很多的钱，但最近一个季度仍增长了8.6%。为了获取更高的增长，Nvidia已经采取了更为明智的做法，即以自动驾驶汽车技术作为推动增长的支点。

目前Nvidia已经推出了自主第二代无人驾驶汽车平台了，名为Drive PX 2，而且与超过80家汽车制造商和以及供应商进行合作，测试并企图加速应用该技术。此外，Nvidia最近还推出了SGX-1超级计算机，它可以与Drive PX 2配对，可在云端实时处理自动驾驶的数据。

除了自动驾驶汽车技术之外，Nvidia的处理器还运用于车载信息系统，该领域同比增长幅度最大，高达47%。

扩充机器学习业务

“机器学习”是人工智能不可或缺的关键部分，当中涉及的技术实在太多，但都与识别信息和对象做出智能的回应为主，而不是利用编程去干预。当前很多高科技巨头，正越来越多的利用GPU去推动机器学习的能力。比如说，Facebook利用Nvidia的Tesla M40 GPU，帮助增强Big Sur机器人的学习能力。

Nvidia此前表示，其相关技术有助于让机器学习的深度神经网络比传统的快10到20倍，短短几个小时之内便可学习贯通新的信息，而不是几天或几周时间。Tesla P100 GPU是Nvidia目前正在研发的新GPU，预计将主要运用到企业数据中心业务，有分析预计到2018年将为Nvidia在机器学习的市场获得超过120亿美元的营收。

总之，游戏领域依然是Nvidia获取大量收入的来源，占总收入超过52%，但汽车和机器学习领域，则表明了Nvidia不希望依赖于桌面显卡市场的决心，并试图建立非同传统硬件厂商的帝国。