人工智能AI需要的硬件技术分析

Analysis of Hardware Technology Needed by Artificial Intelligence AI

在每次转变中,都会涌现出新的解决方案提供商,并成为主要供应商。在这第四波计算浪潮中,最新的力量是英伟达及其用于高性能计算(HPC)和人工智能(AI)的并行处理平台,即GPU和CUDA编程平台。英伟达业务的增长是这样的结构性转变的一个证明。人工智能和自动驾驶汽车的技术和产品需求是英伟达增长的关键推动力,而且这在广义上都和物联网有关。物联网还有其它一些同样关键的安全和网络要求,不容忽视。

With each shift, new solution providers have emerged as prominent suppliers. The latest power often cited with the fourth wave is Nvidia and its parallel processing platform for HPC and artificial intelligence （AI）, namely GPUs and the CUDA programming platform. The growth of the data center segment of Nvidia＇ s business is a testament to this tectonic shift. The technology and product requirements for AI and self-driving cars are key growth drivers for Nvidia and these can be broadly associated with loT. However, loT has other, equally critical requirements in the security and networking space that cannot be overlooked.