The parallel computing power of GPU chips, especially for artificial intelligence applications that need to handle a lot of data, Nvidia has been able to shine in the field of artificial intelligence through the only industry's GPU technology, whether in the automotive, data center, health care, UAV market, Nvidia has produced bright eye results. According to Madison COM, the Department of Artificial intelligence in the Nvidia business has grown significantly, as the auto sector has grown by nearly 20% in the last quarter of 2017 compared with the previous year. By 2022 years, the annual growth rate of the AI market is expected to exceed 45%. After using artificial intelligence technology to launch the drive PX2 platform, Nvidia also plans to introduce AI into more applications. Deep learning is a branch of AI technology, which aims to understand the meaning of data through software assistance systems. The Grand View study predicts that the depth learning market will create $10 billion in market capitalisation in 2025, with a growth rate of more than 52% per annum. Nvidia naturally does not miss this opportunity, and has launched the DGX-1 supercomputer with the Tesla V100 GPU, which is trained for AI modules, which are supposedly 3 times times as fast as other GPU systems. DGX-1 Supercomputer is an immediate solution that customers don't have to spend on a few months to develop their hardware and software. Nvidia has attracted well-known customers such as Wal-Mart with such tactics. Wal-Mart plans to use NVIDIA technology to build GPU farms in data centers, and will introduce deep learning techniques into cloud computing platforms. In this way, Wal-Mart does not have to rely on its rival Amazon cloud services to use its deep learning technology to deal with consumer and improve its sales performance. The data center is the fastest-growing department of NVIDIA, and the latest quarter has grown by 175% from a year earlier. Cooperation with businesses such as Wal-Mart is expected to assist Nvidia in sustaining the growth momentum of the data center department. On the other hand, the annual growth of artificial intelligence applications in the medical market is expected to be maintained at 40% until 2025. Nvidia announced in May 2017 that it would train 100,000 of developers to promote deep learning deployments for healthcare and cancer research. Prior to this, NVIDIA has put the Tesla K80 GPU into breast cancer detection training. The Centre for Clinical Data Science (Clinical Data Sciences Center) has also bought 4 units of $150,000 a DGX-1 supercomputer, hoping to introduce deep learning techniques into MRI and computed tomography analysis.
