All the most important information from AWS’ huge tech present re:Invent 2025

Amazon Net Providers’ annual tech convention AWS re:Invent has wrapped up its first official day of programming and has already delivered an countless stream of product information.

The unsurprising theme is AI for the enterprise, though this yr it’s all about upgrades that give its clients larger management to customise AI brokers — together with one which AWS claims can study from you after which work independently for days.

AWS re:Invent 2025, which runs via December 5, began with a keynote from AWS CEO Matt Garman, who leaned into the concept that AI brokers can unlock the “true worth” of AI.

“AI assistants are beginning to give technique to AI brokers that may carry out duties and automate in your behalf,” he mentioned through the December 2 keynote. “That is the place we’re beginning to see materials enterprise returns out of your AI investments.”

Whereas AI agent information guarantees to be a persistent presence all through AWS re:Invent 2025, there have been different bulletins, too. Here’s a roundup of the bulletins that bought our consideration. TechCrunch will proceed to replace this text via the top of AWS re:Invent, so be sure you test again.

An AI coaching chip and Nvidia compatibility

AWS launched a new model of its AI coaching chip known as Trainium3 together with an AI system known as UltraServer that runs it. The TL;DR: This upgraded chip comes with some spectacular specs, together with a promise of as much as 4x efficiency features for each AI coaching and inference whereas decreasing vitality use by 40%.

AWS additionally offered a teaser. The corporate already has Trainium4 in growth, which can be capable of work with Nvidia’s chips.

Expanded AgentCore capabilities

AWS introduced new options in its AgentCore AI agent constructing platform. One function of be aware is Coverage in AgentCore, which supplies builders the power to extra simply set boundaries for AI brokers.

AWS additionally introduced that brokers will now be capable of log and keep in mind issues about their customers. Plus it introduced that it’ll assist its clients consider brokers via 13 prebuilt analysis programs.

A nonstop AI agent employee bee

AWS introduced three new AI brokers (there may be that time period once more) known as “Frontier brokers,” together with one known as “Kiro autonomous agent” that writes code and is designed to learn the way a workforce likes to work so it could actually function largely by itself for hours or days.

One other of those new brokers handles safety processes like code critiques, and the third does DevOps duties such as stopping incidents when pushing new code stay. Preview variations of the brokers can be found now.

New Nova fashions and companies

AWS is rolling out 4 new AI fashions inside its Nova AI mannequin household — three of that are textual content producing and one that may create textual content and pictures.

The corporate additionally introduced a brand new service known as Nova Forge that enables AWS cloud clients to entry pre-trained, mid-trained, or post-trained fashions that they will then high off by coaching on their very own proprietary information. AWS’s huge pitch is flexibility and customization.

Lyft’s argument for AI brokers

The ride-hailing firm was amongst many AWS clients that piped up through the occasion to share their success tales and proof of how merchandise affected their enterprise. Lyft is utilizing Anthropic’s Claude mannequin by way of Amazon Bedrock to create an AI agent that handles driver and rider questions and points.

The corporate mentioned this AI agent has diminished common decision time by 87%. Lyft additionally mentioned it has seen a 70% improve in driver utilization of the AI agent this yr.

An AI Manufacturing unit for the personal information middle

Amazon additionally introduced “AI Factories” that permit huge companies and governments to run AWS AI programs in their very own information facilities.

The system was designed in partnership with Nvidia and consists of each Nvidia’s tech and AWS’s. Whereas corporations that use it could actually inventory it with Nvidia GPUs, they will additionally go for Amazon’s latest homegrown AI chip, the Trainium3. The system is Amazon’s approach of addressing information sovereignty, or the necessity of governments and plenty of corporations to manage their information and never share it, even to make use of AI.

Try the most recent reveals on all the things from agentic AI and cloud infrastructure to safety and rather more from the flagship Amazon Net Providers occasion in Las Vegas. This video is dropped at you in partnership with AWS.