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亚马逊AWS官方博客 -

加入预览版试用,体验基于 AWS Graviton4 的全新内存优化型 Amazon EC2 实例(R8g)

我们正在开放下一代 Amazon Elastic Compute Cloud(Amazon EC2)实例的预览 […]

AI生成摘要 亚马逊推出下一代EC2实例预览,新的R8g实例搭载Graviton4处理器,性价比超过现有内存优化实例,适用于内存密集型工作负载。Graviton处理器经历了多次升级,性能提升明显。Graviton4处理器具有96个内核和12个DDR5-5600通道,相比Graviton3处理器,数据库处理速度提升40%,Web应用程序处理速度提升30%,大型Java应用程序处理速度提升45%。R8g实例提供多种大小,比R7g实例有3倍的vCPU数量和3倍的内存量。

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亚马逊AWS官方博客 -

AWS re:Invent 2023 热门公告

欢迎来到拉斯维加斯!AWS 本年度的重头戏 – re:Invent 2023 将在这里隆重举行! Re:Inv […]

AI生成摘要 AWS将在拉斯维加斯举办re:Invent 2023活动,提供主题演讲、培训、创新讲座等。介绍了一些新功能,如Amazon CloudWatch的自然语言查询、AWS Glue的异常检测、应用程序负载均衡器的双向身份验证等。还推出了Amazon WorkSpaces的跨区域数据复制功能、Amazon Transcribe的通话分析功能等。同时,提供了成本优化中心、自动化模式分析和异常检测功能等服务。

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亚马逊AWS官方博客 -

在 AWS Marketplace 中使用新推出的快速启动功能轻松部署 SaaS 产品

今天,我们很高兴地宣布 SaaS 快速启动功能已正式发布,这是 AWS Marketplace 中的一项新功能 […]

AI生成摘要 AWS Marketplace发布了SaaS快速启动功能,可帮助用户轻松安全地部署SaaS产品。该功能提供了详细的分步说明和预配置的AWS CloudFormation模板,确保配置符合最新的AWS安全标准。用户只需购买支持快速启动的产品,点击设置账户按钮,完成注册和部署即可。卖家可以在其SaaS产品中启用此功能。

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亚马逊AWS官方博客 -

AWS Media Services 和 SyncWords 让多语种自动字幕和音频配音在直播活动中成为可能

本文由 SyncWords 商业发展与战略部副总裁 Giovanni Galvez 合著。 引言 对业界而言, […]

AI生成摘要 本文介绍了使用SyncWords的解决方案,可以消除使用嵌入式字幕所带来的挑战。SyncWords提供了使用AI添加直播流实时字幕、进行实时翻译的平台。通过简单集成的方式,为直播活动工作流程添加同步的多语种字幕。SyncWords还可以为工作流程生成实时、已翻译的配音效果。此外,使用SyncWords无需直播字幕专用硬件,成本效益高。

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NVIDIA Blog -

Embracing Transformation: AWS and NVIDIA Forge Ahead in Generative AI and Cloud Innovation

Amazon Web Services and NVIDIA will bring the latest generative AI technologies to enterprises worldwide. Combining AI and cloud computing, NVIDIA founder and CEO Jensen Huang joined AWS CEO Adam Selipsky Tuesday on stage at AWS re:Invent 2023 at the Venetian Expo Center in Las Vegas. Selipsky said he was “thrilled” to announce the expansion Read article >

AI生成摘要 亚马逊网络服务(AWS)和NVIDIA将把最新的生成式人工智能技术带给全球企业。AWS将成为首个采用NVIDIA GH200 NVL32 Grace Hopper Superchip的云服务提供商,AWS还将引入NVIDIA DGX Cloud,并整合NVIDIA的软件库。NVIDIA的创始人兼首席执行官黄仁勋强调了NVIDIA库与AWS的集成,合作将使AWS开放给数百万开发者和近4万家使用这些库的公司。AWS CEO Selipsky介绍了NVIDIA GH200 Grace Hopper Superchip在云计算方面的重大进展。合作将推出首个由GH200 Superchips驱动的DGX Cloud AI超级计算机,展示了AWS云基础设施和NVIDIA人工智能专业知识的强大能力。

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NVIDIA Blog -

NVIDIA BioNeMo Enables Generative AI for Drug Discovery on AWS

Researchers and developers at leading pharmaceutical and techbio companies can now easily deploy NVIDIA Clara software and services for accelerated healthcare through Amazon Web Services. Announced today at AWS re:Invent, the initiative gives healthcare and life sciences developers using AWS cloud resources the flexibility to integrate NVIDIA-accelerated offerings such as NVIDIA BioNeMo — a generative Read article >

AI生成摘要 在亚马逊网络服务(AWS)上,研究人员和制药公司可以轻松部署NVIDIA Clara软件和服务,加速医疗保健领域的发展。此举将使全球数千家医疗保健公司能够访问BioNeMo,利用NVIDIA GPU加速的云服务器在AWS上构建或定制数字生物学基础模型,扩大模型训练和部署规模。此外,NVIDIA还在AWS上推出了MONAI和Parabricks等医疗影像和基因组学相关的产品。

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NVIDIA Blog -

NVIDIA GPUs on AWS to Offer 2x Simulation Leap in Omniverse Isaac Sim, Accelerating Smarter Robots

Developing more intelligent robots in the cloud is about to get a speed multiplier. NVIDIA Isaac Sim and NVIDIA L40S GPUs are coming to Amazon Web Services, enabling developers to build and deploy accelerated robotics applications in the cloud. Isaac Sim, an extensible simulator for AI-enabled robots, is built on the NVIDIA Omniverse development platform Read article >

AI生成摘要 NVIDIA Isaac Sim和NVIDIA L40S GPU即将登陆亚马逊云服务,为开发者提供在云端构建和部署加速机器人应用的能力。L40S GPU基于Ada Lovelace架构,结合强大的AI计算和图形媒体加速,为数据中心工作负载提供高性能。L40S GPU在Isaac Sim中的性能比上一代提升了3.8倍,比A40 GPU快2倍。此外,L40S GPU还可用于生成式AI工作负载。通过亚马逊市场上的NVIDIA L40S的新Amazon Machine Images (AMIs),机器人学家可以轻松访问预配置的虚拟机来操作Isaac Sim工作负载。模拟机器人开发加速了应用部署的过程,推动了零售、食品加工、制造、物流等行业的发展。根据ABI Research的数据,全球仓库中的移动机器人收入预计将从2023年的116亿美元增长到2030年的422亿美元。

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Databricks -

Databricks Wins AWS ISV Partner of the Year Award in NAMER

We’re thrilled to share that Databricks has won the AWS ISV Partner of the Year award for North America. This award recognizes top I...

AI生成摘要 Databricks获得了北美地区的AWS ISV合作伙伴年度奖,这表明了他们与AWS的强大合作关系和提供与AWS无缝集成的简单统一的数据智能平台的能力。此外,Databricks还入围了全球ISV数据和分析合作伙伴年度奖、全球零售和消费品行业合作伙伴年度奖、全球广告和营销行业合作伙伴年度奖以及LATAM非营利组织(NPO)合作伙伴年度奖。Databricks与AWS合作推出了许多创新产品,包括支持AWS Graviton3实例、Lakehouse Federation的客户预览以及在Amazon Athena中无缝查询Delta Lake表等。他们还在re:Invent大会上举办了创新会议,并提供免费试用和AWS学分。

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亚马逊AWS官方博客 -

使用 AWS serverless 服务搭建基于 Gitlab 和飞书的 CICD 审批流

本文以一个场景为例,展示了如何使用亚马逊云科技的 Serverless 服务,整合 Git 平台和国内办公 APP,完成审批流的功能。

AI生成摘要 很多公司使用SaaS或自建的开源Git平台来管理代码,但国内企业更喜欢使用办公APP进行通讯。本文介绍了如何使用亚马逊云科技的Serverless服务,整合Git平台和国内办公APP,完成审批流的功能。文章提供了整体架构和关键代码,并展示了Gitlab侧架构和飞书侧架构的流程。通过此架构,可以实现对不同分支、项目和事件的监测,并可以替换成其他平台的通知和审批。

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MongoDB -

MongoDB Atlas AWS CloudFormation and CDK Integration Expansion

At MongoDB, we meet our developers where they’re at and offer multiple ways to get started and work with MongoDB Atlas. Since our GA launch of the MongoDB Atlas integration with the AWS CloudFormation Registry at the start of this year, users have had the freedom to manage their MongoDB Atlas resources using familiar YAML or JSON CloudFormation Templates. This provided developers and DevOps teams the core Infrastructure as Code (IaC) benefits: enhanced automation, version control, infrastructure consistency, and improved compliance. In addition to these updates, we went further and announced support for CDK at MongoDB.Local NYC in June 2023, which allowed development teams to leverage MongoDB Atlas resources natively in the language of their choice: JavaScript, TypeScript, Python, Java, Go, and C#. Today, just ahead of AWS re:Invent, we are excited to announce several key improvements and expansions to our AWS CloudFormation and CDK integrations that we hope will continue to make developers' lives even easier. New MongoDB Atlas resources on the AWS CloudFormation Registry Nine new MongoDB Atlas Resources have been published including Federated Database Instance, Serverless Private Endpoint, Programmatic API Keys Management, MongoDB Atlas Gov Support, and MongoDB Atlas Organization Management. This brings the total MongoDB Atlas Resources count on CloudFormation Registry to 42 and allows developers to do more with MongoDB Atlas and AWS CloudFormation. AWS region expansion Are you a developer based in or have your end customers in Hyderabad India, Melbourne Australia, Spain, Switzerland, or the UAE? The good news, we have published all 42 Atlas Resources in each of these new AWS regions as well. Benefits include reduced latency and improved compliance with data sovereignty regulations. This brings the total MongoDB Atlas availability from 22 to 27 AWS regions on the AWS CloudFormation and CDK. New CDK level 3 resources The CDK provides different levels of abstraction for defining cloud resources: L1 constructs, which are direct mappings to AWS CloudFormation resources, and higher-level constructs like L2 and L3, which can provide high levels of abstraction. L3 constructs, also known as "Design Patterns" or "High-Level Constructs," combine multiple resources together in commonly used architectures with intelligent defaults, saving developers from manually having to glue L1 and L2 constructs together each time. Hence, we are happy to announce several new AWS CDK L3 resources including support for MongoDB Atlas Serverless. Migration to the Atlas Go SDK Lastly, we are delighted to have migrated our AWS CloudFormation resources to the new Atlas Go SDK. This is the middle layer that translates AWS CloudFormation calls to the Atlas Admin API (which is ultimately responsible for provisioning your MongoDB Atlas infrastructure). This migration goes a long way in accelerating our internal development velocity and enabling us to publish more MongoDB Atlas Resources on AWS CloudFormation soon after they go GA. Learn more about the key benefits of the Atlas Go SDK. Start building today These MongoDB Atlas integrations with AWS CloudFormation are free and open-source, licensed under the Apache License 2.0. Users only pay for underlying MongoDB Atlas and AWS resources created and can get started building with the Atlas always-free tier (M0 clusters). Getting started today is faster than ever with MongoDB Atlas and AWS CloudFormation. We can’t wait to see what you will build next. Learn more on our MongoDB Atlas and AWS CloudFormation page.

AI生成摘要 WINN.AI is an AI company that aims to improve sales team productivity by reducing administrative tasks. Their AI-powered virtual sales assistant joins virtual meetings, interprets customer questions, provides relevant information, and ensures meetings stay on track. WINN.AI uses AI/ML techniques such as Natural Language Processing (NLP) algorithms and GPT models for entity extraction and summarization. MongoDB is used as the underlying data layer, providing flexibility and scalability. WINN.AI plans to explore new functionalities such as Atlas Search and Atlas Stream Processing to enhance real-time analytics and lower latency AI outputs.

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