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You are at:Home»AI»All the biggest news from AWS’s big tech show re:Invent 2025
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All the biggest news from AWS’s big tech show re:Invent 2025

techtost.comBy techtost.com3 December 202504 Mins Read
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Amazon Web Services’ annual tech conference AWS re:Invent has completed its first official day of programming and has already delivered an endless stream of product news.

The unsurprising topic is artificial intelligence for the enterprise, though this year it’s all about upgrades that give its customers more 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, kicked off 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 Dec. 2 keynote. “This is where we start to see tangible returns to your business from your AI investments.”

While agent AI news promises to be a persistent presence throughout AWS re:Invent 2025, there have been other announcements. Here’s a rundown of the announcements that caught our attention. TechCrunch will continue to update this article until 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 the promise of up to 4x performance gains for both AI training and inference, while reducing power usage by 40%.

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

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Expanded AgentCore capabilities

AWS announced new features in its AgentCore AI agent creation platform. A key feature is Policy in AgentCore, which enables developers to more easily set limits for AI agents.

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 customers rate agents through 13 pre-built rating systems.

An unstoppable worker bee AI agent

AWS announced three new AI agents (there’s that term again) called “Frontier agents,” including one called the “Kiro autonomous agent” that writes code designed to learn how a team wants to operate so it can largely operate on its own for hours or days.

Another of these new agents handles security processes, such as code reviews, and the third does DevOps tasks, such as preventing incidents when pushing new code live. Preview versions of the agents are now available.

New Nova models and services

AWS is releasing four new AI models in the Nova AI family of models — three of which generate text 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 finish training on their own proprietary data. AWS’ big step is flexibility and customization.

Lyft’s argument for AI agents

The routing company was among several AWS customers that released during the event to share their success stories and evidence of how the products have impacted their business. Lyft uses Anthropic’s Claude model through Amazon Bedrock to build an AI agent that handles driver and rider questions and issues.

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

An AI factory for the private data center

Amazon also announced “AI Factories” that allow large corporations and governments to run AWS AI systems in their own data centers.

The system was designed in collaboration with Nvidia and includes both Nvidia and AWS technology. While companies using it can equip it with Nvidia GPUs, they can also opt for Amazon’s newest homegrown AI chip, the Trainium3. The system is Amazon’s way of dealing with data sovereignty, or the need for governments and many companies to control their data and not share it, even using artificial intelligence.

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

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