<div id="readability-page-1"><div> <p id="speakable-summary">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.</p> <p>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.</p>   <p>AWS re:Invent 2025, which runs through Dec. 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.</p> <p>“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.”</p> <p>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.</p> <h2 id="h-an-ai-training-chip-and-nvidia-compatibility">An AI training chip and Nvidia compatibility</h2> <p id="speakable-summary">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%.</p> <p>AWS also provided a teaser. The cloud provider already has Trainium4 in development, which will be able to work with Nvidia’s chips.</p> <div> <div>  <p>Techcrunch event</p> <div>  <p><span>San Francisco</span> <span>|</span> <span>October 13-15, 2026</span> </p>  </div> </div> </div> <h2 id="h-expanded-agentcore-capabilities"><strong>Expanded AgentCore capabilities</strong></h2> <p>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. </p> <p>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 pre-built evaluation systems.</p> <h2 id="h-a-non-stop-ai-agent-worker-bee">A non-stop AI agent worker bee</h2> <p id="speakable-summary">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.</p>   <p>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.</p> <h2 id="h-new-nova-models-and-services"><strong>New Nova models and services</strong></h2> <p>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.</p> <p>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.</p> <h2 id="h-lyft-s-argument-for-ai-agents">Lyft’s argument for AI agents</h2> <p>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. </p> <p>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. </p> <h2 id="h-an-ai-factory-for-the-private-data-center">An AI Factory for the private data center</h2> <p>Amazon also announced “AI Factories” that allows big corporations and governments to run AWS AI systems in their own data centers.</p> <p>The system was designed in partnership with Nvidia, and includes both Nvidia’s tech and AWS’s. While companies who 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.</p>   <p><em>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.</em></p> </div></div>

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<p>AWS re:Invent 2025 highlights include AI agent upgrades, new AI training chip Trainium3, expanded AgentCore capabilities, and AI Factory for private data centers. AWS introduced Frontier agents for coding, security, and DevOps tasks. Lyft shared success with AI agents reducing resolution time by 87%. Nova AI models and Nova Forge service offer customization. The event emphasizes AI's business value and flexibility.</p>

- Amazon Web Services (AWS) concluded the first day of its annual conference, AWS re:Invent 2025, focusing on AI advancements for enterprises.  
- Key announcements included the introduction of the Trainium3 AI training chip, enhanced AgentCore capabilities, and new AI agents designed for various tasks, showcasing AWS's commitment to customization and performance.  
- Lyft shared its success with AI agents, reporting significant improvements in resolution times and driver engagement, while AWS also unveiled "AI Factories" for private data centers to address data sovereignty concerns.  

All the biggest news from AWS’ big tech show re:Invent 2025