(Original title: Nvidia CEO shrugs off Google's efforts to undercut its growth engine)
Netease Technology News May 25 news According to CNBC reports, graphics chip maker Nvidia on Wednesday this week, Google launched the second generation of TPU chip to enter the artificial intelligence market to respond. At present, many AI companies use NVIDIA chips for AI processing. Google’s participation may weaken Nvidia’s growth.
As a result of betting on artificial intelligence, investor concerns and sales growth have allowed Nvidia's share price to soar in the past few years. Nvidia's stock price rose more than 200% in the past year, and after 2017, it rose by nearly 30%. Following the launch of the second-generation TPU (Tensor Processing Unit) at Google's I/O Developer Conference, Nvidia's stock price experienced a short-term decline and rebounded afterwards.
In a blog post on Wednesday, Nvidia CEO Huang Renxun emphasized his company’s continued cooperation with Google and indirectly expressed disdain for Google’s TPU. In addition, Nvidia also announced plans to launch specific Kaiyuan AI software.
“We want to see AI as quickly as possible across the globe. People don’t have to invest in building a TPU (as Google did), we have ready-made, and are designed by the world’s best chip designers.â€
Unlike Nvidia's product sales model, Google TPU is not sold separately, but is used for rent on Google Cloud Platform, the Google cloud service platform.
Deep learning usually involves two phases. First, researchers provide computers with large amounts of data - these computers are usually equipped with multiple GPUs - to train computers to recognize objects in photos. In the second phase, the researchers send new data to the computer and manually instruct the computer to predict the data.
Google introduced the first generation of TPU last year, only for inference sessions in the second phase of deep learning. The second-generation TPU released last week can handle both training and first-stage operations, further enhancing TPU's challenge to NVIDIA's GPUs.
Huang Renxun pointed out that customers can still choose Nvidia GPU on Google Cloud platform, and Nvidia cooperates with Google to improve the performance of the latter's open source TensorFlow framework.
"AI is the greatest technological force in human history. It is gratifying to promote the democratization and popularization of AI." Huang Renxun wrote.
The second-generation TPU provides 45 trillion floating-point operations per second, while Nvidia's upcoming Volta floating-point computing capabilities can reach 120 teraflops per second. (Sun Wenwen)
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