Top stories from AWS’s major technology showcase re:Invent 2025

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📂 Category: AI,Enterprise,AI agents,AI chips,AWS,aws re:Invent,AWS reinvent 2025

📌 Main takeaway:

Amazon Web Services’ annual technical conference AWS re:Invent has concluded its first official day of programming and has already provided an endless stream of product news.

The unsurprising topic is enterprise AI, though 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 autonomously for days.

AWS re:Invent 2025, which runs through December 5, kicked off with a keynote from AWS CEO Matt Jarman, who weighed in on the idea that AI customers 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 his Dec. 2 keynote. “This is where we start to see material business returns from your AI investments.”

While AI Agent news promises a continued presence during AWS re:Invent 2025, there have been other announcements as well. Here’s a summary of the ads that caught our attention. TechCrunch will continue to update this article through the end of AWS re:Invent, so be sure to check back.

AI training chip with Nvidia compatibility

AWS has introduced a new version of its AI training chip called Trainium3 along with the AI ​​system called UltraServer that powers it. TL;DR: This upgraded chip comes with some impressive specs, including the promise of up to 4x performance gains for both AI training and inference while reducing power usage by 40%.

AWS also made a teaser. The company already has Trainium4 software in development, which will be able to work with Nvidia chipsets.

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Expanding AgentCore capabilities

AWS has announced new features in its AgentCore AI agent building platform. One noteworthy feature is Policy in AgentCore, which gives developers the ability to set limits for AI agents more easily.

AWS also announced that agents will now be able to record and remember things about their users. In addition, it announced that it will help its clients evaluate agents through 13 pre-set rating systems.

A non-stop AI worker bee

AWS announced three new AI agents (there’s that term again) called “Frontier Agents,” including one called the “Kiro Autonomous Agent” that writes code and is designed to learn how the team likes to work so it can work largely on its own for hours or days.

One of these new agents handles security operations like code reviews, and a third handles DevOps tasks like preventing incidents when new code is live. Preview versions for agents are available now.

New Nova models and services

AWS is introducing four new AI models within the Nova AI family of models – three dedicated to text generation and one that can generate 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 improve by training on their proprietary data. AWS’s big offering is flexibility and customization.

Lyft’s argument for AI agents

The ride-hailing company was among several AWS customers who descended on the event to share their success stories and evidence of how the products have impacted their businesses. Lyft uses Anthropic’s Claude model via Amazon Bedrock to create an AI agent that handles driver and passenger questions and issues.

The company said this AI agent reduced the average resolution time by 87%. Lyft also said it saw a 70% increase in driver use of its AI agent this year.

AI factory for private data center

Amazon also announced “AI factories” that allow major companies and governments to run AWS AI systems in their own data centers.

The system was designed in partnership with Nvidia and includes both Nvidia and AWS technology. While companies using it can stock it with Nvidia GPUs, they can also opt for Amazon’s latest home-made AI chip, the Trainium3. The system is Amazon’s way of addressing data sovereignty, or the need for governments and many companies to control their data and not share it, even for the use of artificial intelligence.

See the latest reveals on everything from agent AI and cloud infrastructure to security and more from Amazon Web Services’ flagship event in Las Vegas. This video is brought to you in partnership with AWS.

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