亚马逊re:Invent10周年官宣重大发布,推出自研芯片Graviton3、5G、IOT、数字孪生等多项服务

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"11月29日,一年一度的亚马逊云科技re:Invent全球大会开幕,今年也是re:Invent十周年。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"re:Invent 2021大会首日,亚马逊云科技发布了涵盖计算、物联网、5G、无服务器数据分析、大机迁移、机器学习等方向的多项新服务和功能:"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"包括发布基于新一代自研芯片Amazon Graviton3的计算实例、帮助大机客户向云迁移的Amazon Mainframe Modernization、帮助企业构建移动专网的Amazon Private 5G、四个亚马逊云科技分析服务套件的无服务器和按需选项以及为垂直行业构建的云服务和解决方案,如构建数字孪生的服务Amazon IoT TwinMaker和帮助汽车厂商构建车联网平台的Amazon IoT 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IT 标准,并发展成影响整个 ICT 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EC2上运行的工作负载的性能、成本和能源效率。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}},{"type":"strong"}],"text":"新C7g 实例由Amazon Graviton3 处理器支持,与由 Amazon Graviton2 处理器支持的当前一代 C6g 实例相比,可将计算密集型工作负载性能提高多达25%。"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"Amazon 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Redshift Serverless可在几秒钟内自动设置和扩展资源,让客户在PB级数据规模运行高性能工作负载,而无需管理数据仓库集群;"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless可快速扩展资源,极大地简化实时数据摄取和流式传输;"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"Amazon EMR Serverless让客户无需部署、管理和扩展底层基础设施,即可使用开源大数据框架(如 Apache Spark、Hive 和 Presto)运行分析应用程序。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"Amazon Kinesis On-demand是亚马逊云科技为Amazon Kinesis Data Streams(一种用于捕获、处理和存储流媒体数据的无服务器服务)推出的新功能(新的容量模式),利用它可以提供每分钟GB级别的读写吞吐量,而无需进行容量规划。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"机器学习是数据洞察必不可少的。亚马逊云科技拥有广泛和完整的机器学习功能特性组合,从机器学习框架和基础设施、机器学习服务到开箱即用的人工智能服务。亚马逊云科技的机器学习服务Amazon SageMaker,目前有数万客户正在使用,训练具有数十亿个参数的模型,每月进行数千亿次预测。自2017年问世以来,Amazon SageMaker已经陆续添加了150多项功能和特性。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"此外,Adam还"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}},{"type":"strong"}],"text":"宣布了一项重要的Amazon SageMaker新功能——Amazon SageMaker 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Formation确保湖中数据的一致性,这两项功能让数据湖的搭建、治理和管理更加容易。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"推出两项IoT新服务,赋能行业"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"大会现场,亚马逊云科技还"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}},{"type":"strong"}],"text":"推出了两项IoT新服务—— Amazon IoT TwinMake\/FleetWise"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":",赋能更广泛的行业。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"中桥调研咨询(Sino-bridges)首席分析师王丛认为:“Amazon IoT TwinMaker打通物理和虚拟世界,让物理世界监控管理更加实时,高效,智能。另外,Amazon IoT FleetWise让这种数实融合的综合管理能力转化为车队物联网监控、分析、管理创新服务。”"}]},{"type":"heading","attrs":{"align":null,"level":3},"content":[{"type":"text","text":"Amazon IoT TwinMaker 可更轻松、快捷"},{"type":"text","marks":[{"type":"italic"}],"text":"创建现实世界的数字孪生"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}},{"type":"strong"}],"text":"Amazon IoT TwinMaker"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"让开发人员更加轻松、快捷地创建现实世界的数字孪生,如楼宇、工厂、工业设备和生产线。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}},{"type":"strong"}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"数字孪生是物理系统的虚拟映射,可根据其所代表的现实世界对象的结构、状态和行为定期更新。Amazon IoT 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3D 虚拟模型,并将现实世界的数据叠加到 3D 视图上。一旦他们获得具有实时数据的现实世界的虚拟映射,客户就可以为工厂操作员和维护工程师构建应用程序,并利用机器学习和数据分析来洞察其物理系统的实时操作性能。由于上述所需工作的复杂性,绝大多数企业无法使用数字孪生来改善其运营。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"Amazon IoT TwinMaker让创建现实世界的数字孪生变得更加轻松、快捷。使用Amazon IoT TwinMaker,开发人员可以将Amazon IoT TwinMaker连接到设备传感器、视频源和业务应用程序等数据源,快速开始构建设备、装置和流程的数字孪生。为方便从各种数据源收集数据,Amazon IoT TwinMaker包含适用于Amazon IoT SiteWise、Amazon Kinesis Video Streams和Amazon S3的内置连接器(客户也可以为Amazon 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Managed Grafana的Amazon IoT TwinMaker插件创建基于Web的应用程序,在工厂操作员和维护工程师用于监控和检查设施和工业系统的设备上,即可显示该应用程序的数字孪生。通过Amazon IoT TwinMaker,更多客户可以使用数字孪生模型构建模拟现实世界的应用程序,提高运营效率并减少停机时间。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"据悉,Amazon IoT 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FleetWise帮助汽车制造商收集、管理车辆数据"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"亚马逊云科技还宣布推出了Amazon IoT FleetWise,让汽车制造商更轻松、经济地收集、管理车辆数据,同时几乎实时上传到云端。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"通过Amazon IoT FleetWise,汽车制造商可以轻松地收集和管理汽车中任何格式的数据(无论品牌、车型或配置),并将数据格式标准化,方便在云上轻松进行数据分析。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"Amazon IoT FleetWise的智能过滤功能,帮助汽车制造商近乎实时地将数据高效上传到云端,为减少网络流量的使用,该功能也允许开发人员选择需要上传的数据,还可以根据天气条件、位置或汽车类型等参数来制定上传数据的时间规则。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"当数据进入云端后,汽车制造商就可以将数据应用于车辆的远程诊断程序,分析车队的健康状况,帮助汽车制造商预防潜在的召回或安全问题,或通过数据分析和机器学习来改进自动驾驶和高级辅助驾驶等技术。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"使用Amazon IoT FleetWise无需预付费用,客户只需为使用的基础服务付费。欲了解Amazon IoT FleetWise,请访问"},{"type":"link","attrs":{"href":"https:\/\/aws.amazon.com\/iot\/kaleidoscope","title":null,"type":null},"content":[{"type":"text","marks":[{"type":"underline"}],"text":"aws.amazon.com\/iot\/fleetwise"}],"marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}]},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"具有标准车辆数据收集功能的Amazon IoT FleetWise现已在美国东部(弗吉尼亚北部)和欧洲(法兰克福)区域提供预览,其他区域也将很快推出。Amazon IoT FleetWise先进的摄像头传感器数据收集功能预计将于2022年上半年推出。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"新产品和新服务何时落地中国?"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"提及此次发布的产品和服务何时落地中国,产品和服务面向国内市场和美国市场有何不同时,"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}},{"type":"strong"}],"text":"亚马逊云科技大中华区产品部总经理顾凡对InfoQ等媒体"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#494949","name":"user"}}],"text":"表示:“我们有的时候不能直接简单去看这个产品到底中外有什么差异,而是要看我们是否已经把中国客户的需求结合到产品设计里面。比如今天提到的Graviton2、Graviton3,我们一定会加速把Graviton3带到中国。再比如,全球SageMaker同步首发的六个区域,中国就占了两个,就是因为中国客户的机器学习场景非常多。”"}]}]}
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