Amazon web login

  1. Amazon Web Services
  2. Amazon Web Services
  3. Amazon Web Services


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Amazon Web Services

With the Amazon Graviton2-empowered high performance computing cluster, our medium WRF(Weather Research and Forecasting Model)system performance is up by 10%,the time for data computing in production is reduced by 1/3, which helps unlock more computing resources for the iteration testing of AI-enabled forecasting model. —— MA Hui, Director of Software and Data Product Line of Goldwind SE After using Amazon Web Services, ThermoFisher Scientific has tremendously shortened the system development cycle and developed relevant applications on the Wechat platform in only two weeks, breaking the traditional service mode, and realizing the reduction of cost and the increase of efficiency. —— Lewis CHOI, Vice President of Digitalization and Information Technology, Asia-Pacific Region, ThermoFisher Scientific Compared with the previous local GPU clusters configuration, XiaoBu (previous name Breeno), the OPPO voice assistant, can save up to about 35% of overall inference cost and reduce end-to-end latency by up to 25% in typical scenarios such as FAQ and chat by deploying AI model of XiaoBu machine learning inference applications on Amazon EC2 Inf1 instances. —— JIA Jimin Senior Director, OPPO XiaoBu Amazon EKS and other related services have greatly simplified our management of Kubernetes clusters, allowing us to create a robust container platform ecosystem and provide a safe, stable, and efficient platform to support the application systems for our business departments. —— Xu Xiaofe...

Amazon Web Services

With the Amazon Graviton2-empowered high performance computing cluster, our medium WRF(Weather Research and Forecasting Model)system performance is up by 10%,the time for data computing in production is reduced by 1/3, which helps unlock more computing resources for the iteration testing of AI-enabled forecasting model. —— MA Hui, Director of Software and Data Product Line of Goldwind SE After using Amazon Web Services, ThermoFisher Scientific has tremendously shortened the system development cycle and developed relevant applications on the Wechat platform in only two weeks, breaking the traditional service mode, and realizing the reduction of cost and the increase of efficiency. —— Lewis CHOI, Vice President of Digitalization and Information Technology, Asia-Pacific Region, ThermoFisher Scientific Compared with the previous local GPU clusters configuration, XiaoBu (previous name Breeno), the OPPO voice assistant, can save up to about 35% of overall inference cost and reduce end-to-end latency by up to 25% in typical scenarios such as FAQ and chat by deploying AI model of XiaoBu machine learning inference applications on Amazon EC2 Inf1 instances. —— JIA Jimin Senior Director, OPPO XiaoBu Amazon EKS and other related services have greatly simplified our management of Kubernetes clusters, allowing us to create a robust container platform ecosystem and provide a safe, stable, and efficient platform to support the application systems for our business departments. —— Xu Xiaofe...

Amazon Web Services

With the Amazon Graviton2-empowered high performance computing cluster, our medium WRF(Weather Research and Forecasting Model)system performance is up by 10%,the time for data computing in production is reduced by 1/3, which helps unlock more computing resources for the iteration testing of AI-enabled forecasting model. —— MA Hui, Director of Software and Data Product Line of Goldwind SE After using Amazon Web Services, ThermoFisher Scientific has tremendously shortened the system development cycle and developed relevant applications on the Wechat platform in only two weeks, breaking the traditional service mode, and realizing the reduction of cost and the increase of efficiency. —— Lewis CHOI, Vice President of Digitalization and Information Technology, Asia-Pacific Region, ThermoFisher Scientific Compared with the previous local GPU clusters configuration, XiaoBu (previous name Breeno), the OPPO voice assistant, can save up to about 35% of overall inference cost and reduce end-to-end latency by up to 25% in typical scenarios such as FAQ and chat by deploying AI model of XiaoBu machine learning inference applications on Amazon EC2 Inf1 instances. —— JIA Jimin Senior Director, OPPO XiaoBu Amazon EKS and other related services have greatly simplified our management of Kubernetes clusters, allowing us to create a robust container platform ecosystem and provide a safe, stable, and efficient platform to support the application systems for our business departments. —— Xu Xiaofe...