Amazon Net Companies’ annual tech convention AWS re:Invent has wrapped up its first official day of programming and has already delivered an infinite stream of product information.
The unsurprising theme is AI for the enterprise, though this 12 months it’s all about upgrades that give its prospects larger management to customise AI brokers — together with one which AWS claims can be taught from you after which work independently for days.
AWS re:Invent 2025, which runs by way of Dec. 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 solution to AI brokers that may carry out duties and automate in your behalf,” he stated 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 by way of the top of AWS re:Invent so make sure to verify again.
An AI coaching chip and Nvidia compatibility
AWS launched a new model of its AI coaching chip referred to as Trainium3 together with an AI system referred to 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 positive aspects for each AI coaching and inference whereas decreasing vitality use by 40%.
AWS additionally offered a teaser. The cloud supplier already has Trainium4 in improvement, which can be capable of work with Nvidia’s chips.
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Expanded AgentCore capabilities
AWS introduced new options in its AgentCore AI agent constructing platform. One function of be aware is Coverage in AgentCore, which provides builders the power to extra simply set boundaries for AI brokers.
AWS additionally introduced that brokers will now be capable of log and bear in mind issues about their customers. Plus it introduced that it’ll assist its prospects consider brokers by way of 13 pre-built analysis techniques.
A continuous AI agent employee bee
AWS introduced three new AI brokers (there may be that time period once more) referred to as “Frontier brokers” together with one, referred to as “Kiro autonomous agent” that writes code and is designed to find out how a crew likes to work so it may possibly function largely by itself for hours or days.
One other of those new brokers handles safety processes like code evaluations, and the third does DevOps duties such as stopping incidents when pushing new code dwell. Preview variations of the brokers can be found now.
New Nova fashions and providers
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 referred to as Nova Forge that permits AWS cloud prospects to entry pre-trained, mid-trained or post-trained fashions that they’ll 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 prospects 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 stated this AI agent has lowered common decision time by 87%. Lyft additionally stated it has seen a 70% enhance in driver utilization of the AI agent this 12 months.
An AI Manufacturing facility for the non-public information heart
Amazon additionally introduced “AI Factories” that permits huge firms and governments to run AWS AI techniques 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 who use it may possibly inventory it with Nvidia GPUs, they’ll additionally go for Amazon’s latest homegrown AI chip, the Trainium3. The system is Amazon’s means 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.
Take a look at the newest reveals on the whole lot from agentic AI and cloud infrastructure to safety and rather more from the flagship Amazon Net Companies occasion in Las Vegas. This video is dropped at you in partnership with AWS.
