内容来源：https://techcrunch.com/2025/12/02/all-the-biggest-news-from-aws-big-tech-show-reinvent-2025/

内容总结：

亚马逊云科技年度技术盛会re:Invent于12月2日拉开帷幕。在首日活动中，人工智能成为焦点，尤其强调为企业客户提供更具定制化能力的AI智能体解决方案。

首席执行官马特·加曼在主题演讲中指出，AI智能体正从辅助工具转向能够自主执行任务的代理，这将为企业带来实际的投资回报。会上发布的多项升级均围绕这一方向展开。

硬件方面，亚马逊推出了新一代AI训练芯片Trainium3及配套的UltraServer系统，宣称其训练和推理性能提升最高达4倍，能耗降低40%。公司同时透露，下一代Trainium4芯片已在研发中，未来将支持与英伟达芯片协同工作。

在AI智能体开发生态上，其AgentCore平台新增策略管理功能，使开发者能更便捷地为智能体设定行为边界。平台还加入了用户行为记忆与日志功能，并提供了13种预建的智能体评估体系。

值得关注的是，亚马逊发布了三款新型“前沿智能体”，其中名为Kiro的自主编程智能体可学习团队工作模式，实现长达数日的独立运行。另两款分别专注于代码安全审查与运维事故预防，目前均已开放预览版。

模型服务层面，亚马逊为其Nova模型家族新增了四款模型，其中三款专注于文本生成，一款支持图文生成。同时推出的Nova Forge服务允许客户基于预训练模型，使用自有数据进行定制化再训练。

共享出行企业Lyft作为客户代表分享了实践案例：其通过亚马逊云平台接入Claude模型构建的客服智能体，将问题平均解决时间缩短了87%，司机端使用率年内提升70%。

为满足数据主权需求，亚马逊与英伟达合作推出了“AI工厂”解决方案，允许政府与大型企业在自有数据中心部署融合英伟达技术与亚马逊自研芯片（如Trainium3）的AI系统，实现数据本地化管控。

本次大会将持续至12月5日，预计将公布更多技术创新与行业应用进展。

中文翻译：

亚马逊云科技年度技术大会re:Invent首日议程已圆满落幕，一系列产品更新如潮水般涌来。

不出所料，企业级人工智能仍是本届大会的核心议题。但与往年不同的是，今年焦点集中于功能升级——旨在让客户获得更高定制化权限的人工智能体。其中一款被亚马逊云科技宣称能自主学习，并可持续独立工作数日。

将持续至12月5日的AWS re:Invent 2025以首席执行官马特·加曼的主题演讲拉开帷幕。他强调人工智能体将释放人工智能的"真正价值"。"人工智能助手正逐步让位于能代您执行任务、实现自动化的人工智能体，"他在12月2日的演讲中指出，"这正是企业人工智能投资开始获得实质性商业回报的转折点。"

尽管人工智能体相关消息贯穿大会始终，其他重要发布同样值得关注。以下是我们精选的亮点集锦。TechCrunch将持续更新本文至大会闭幕，敬请关注后续内容。

人工智能训练芯片与英伟达兼容性

亚马逊云科技推出新一代人工智能训练芯片Trainium3，以及搭载该芯片的UltraServer人工智能系统。简而言之：这款升级版芯片拥有令人瞩目的性能参数，承诺将人工智能训练和推理性能提升高达4倍，同时降低40%能耗。

该公司还透露了前瞻性进展：正在研发的Trainium4芯片将能与英伟达芯片协同工作。

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扩展AgentCore功能

亚马逊云科技为其AgentCore人工智能体开发平台推出多项新功能。值得关注的是"策略管理"功能，使开发者能更便捷地为人工智能体设定行为边界。

平台还新增用户行为日志记录与记忆功能，并推出13套预置评估系统，协助客户全面评测人工智能体性能。

永不停歇的人工智能体工蜂

大会发布三款名为"前沿智能体"的新型人工智能体（该术语再次出现）。其中"Kiro自主智能体"具备编写代码能力，可学习团队工作模式以实现长达数小时甚至数日的自主运行。

另一款新型智能体专攻代码审查等安全流程，第三款则负责开发运维任务，例如防止新代码上线时的事故发生。三款智能体现已开放预览版体验。

Nova模型与服务更新

亚马逊云科技在其Nova人工智能模型家族中推出四款新模型：三款专注于文本生成，一款支持文图生成。

同时发布的Nova Forge服务允许云客户获取预训练、半训练或后训练模型，并基于自有专有数据进行最终阶段训练。亚马逊云科技着重强调了该服务在灵活性与定制化方面的优势。

Lyft力证人工智能体价值

多家亚马逊云科技客户在大会期间分享了成功案例，网约车平台Lyft便是其中之一。该公司通过Amazon Bedrock平台调用Anthropic的Claude模型，开发出处理司机与乘客咨询问题的人工智能体。

据Lyft透露，该人工智能体使平均问题解决时长缩短87%，今年司机端使用率更提升70%。

私有数据中心的人工智能工厂

亚马逊推出"人工智能工厂"解决方案，允许大型企业与政府机构在自有数据中心部署AWS人工智能系统。

该体系由亚马逊与英伟达联合设计，融合双方技术优势。使用方既可选择配备英伟达GPU，也可选用亚马逊最新自研人工智能芯片Trainium3。该方案旨在回应数据主权需求——满足政府及众多企业对数据控制权的要求，使其在应用人工智能技术时无需共享核心数据。

赞助内容：观看re:Invent行业专场直播

直击拉斯维加斯亚马逊云科技旗舰盛会，探索从智能体人工智能、云基础设施到安全领域的最新突破。本视频由亚马逊云科技合作呈现。

英文来源：

Amazon Web Services’ annual tech conference AWS re:Invent has wrapped up its first official day of programming and has already delivered an endless stream of product news.
The unsurprising theme is AI for the enterprise, although this year it’s all about upgrades that give its customers greater control to customize AI agents — including one that AWS claims can learn from you and then work independently for days.
AWS re:Invent 2025, which runs through December 5, started with a keynote from AWS CEO Matt Garman, who leaned into the idea that AI agents can unlock the “true value” of AI.
“AI assistants are starting to give way to AI agents that can perform tasks and automate on your behalf,” he said during the December 2 keynote. “This is where we’re starting to see material business returns from your AI investments.”
While AI agent news promises to be a persistent presence throughout AWS re:Invent 2025, there were other announcements, too. Here is a roundup of the announcements that got our attention. TechCrunch will continue to update this article through the end of AWS re:Invent, so be sure to check back.
An AI training chip and Nvidia compatibility
AWS introduced a new version of its AI training chip called Trainium3 along with an AI system called UltraServer that runs it. The TL;DR: This upgraded chip comes with some impressive specs, including a promise of up to 4x performance gains for both AI training and inference while lowering energy use by 40%.
AWS also provided a teaser. The company already has Trainium4 in development, which will be able to work with Nvidia’s chips.
Join the Disrupt 2026 Waitlist
Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector.
Join the Disrupt 2026 Waitlist
Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector.
Expanded AgentCore capabilities
AWS announced new features in its AgentCore AI agent building platform. One feature of note is Policy in AgentCore, which gives developers the ability to more easily set boundaries for AI agents.
AWS also announced that agents will now be able to log and remember things about their users. Plus it announced that it will help its customers evaluate agents through 13 prebuilt evaluation systems.
A nonstop AI agent worker bee
AWS announced three new AI agents (there is that term again) called “Frontier agents,” including one called “Kiro autonomous agent” that writes code and is designed to learn how a team likes to work so it can operate largely on its own for hours or days.
Another of these new agents handles security processes like code reviews, and the third does DevOps tasks such as preventing incidents when pushing new code live. Preview versions of the agents are available now.
New Nova models and services
AWS is rolling out four new AI models within its Nova AI model family — three of which are text generating and one that can create text and images.
The company also announced a new service called Nova Forge that allows AWS cloud customers to access pre-trained, mid-trained, or post-trained models that they can then top off by training on their own proprietary data. AWS’s big pitch is flexibility and customization.
Lyft’s argument for AI agents
The ride-hailing company was among many AWS customers that piped up during the event to share their success stories and evidence of how products affected their business. Lyft is using Anthropic’s Claude model via Amazon Bedrock to create an AI agent that handles driver and rider questions and issues.
The company said this AI agent has reduced average resolution time by 87%. Lyft also said it has seen a 70% increase in driver usage of the AI agent this year.
An AI Factory for the private data center
Amazon also announced “AI Factories” that allow big corporations and governments to run AWS AI systems in their own data centers.
The system was designed in partnership with Nvidia and includes both Nvidia’s tech and AWS’s. While companies that use it can stock it with Nvidia GPUs, they can also opt for Amazon’s newest homegrown AI chip, the Trainium3. The system is Amazon’s way of addressing data sovereignty, or the need of governments and many companies to control their data and not share it, even to use AI.
Sponsored: Watch re:Invent industry streams
Check out the latest reveals on everything from agentic AI and cloud infrastructure to security and much more from the flagship Amazon Web Services event in Las Vegas. This video is brought to you in partnership with AWS.