云中支持ai的服务器的未来——一项调查

Rohitha Pasumarty, R. Praveen, Mahesh T R
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引用次数: 3

摘要

在过去的十年里,人们对云计算适应的危险感到焦虑。这是一个全新的概念,它提出了许多问题,而不是回答。最近我们听到了更多关于不使用云计算的后果。微软Azure、亚马逊网络服务(AWS)和谷歌云平台(GCP)等公司已经构建了复杂的云系统,这些系统正在运行云议程,并提供创新的新颖解决方案,以满足现代企业的需求。超大规模数据中心越来越多地转向专业芯片,如gpu(图形处理单元)、fpga(现场可编程门控阵列)和asic,当涉及到云的核心处理器时,它也被认为是AI(人工智能)发现过程的一部分,因此对数据库服务器设计的定量研究也被包括在内。在分析和详细介绍了不同的发现方法和框架之后,本研究工作开发了一种用于高效人工智能应用的混合硬件框架。
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The Future of AI-enabled servers in the cloud- A Survey
People were anxious about the perils of cloud computing adaptation in the previous decade. It was a completely new concept that elevated many questions than it responded. We've been hearing more recently about the consequences of not using the cloud. Microsoft Azure, Amazon Web-Services (AWS), and Google Cloud-Platform (GCP), among others, have constructed complicated cloud systems that are operating the agenda of cloud and delivering innovative novel solutions to satisfy the requirements of modern enterprises. Hyperscale data centres are increasingly turning to specialist chips like GPUs (Graphics Processing-Units), FPGAs (Field-Programmable-Gating-Arrays), and ASICs when it comes to processors, which are at the heart of the cloud, it is also considered as the part of an AI (Artificial Intelligence) discovery process, thus a quantitative study on database server design has also been included. After analyzing and detailing different discovered methodologies and frameworks, this research work has developed a hybrid hardware framework for efficient AI applications.
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