Amazon Internet Providers’ 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 yr it’s all about upgrades that give its prospects better 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 by way of December 5, began with a keynote from AWS CEO Matt Garman, who leaned into the concept AI brokers can unlock the “true worth” of AI.
“AI assistants are beginning to give strategy 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 tip of AWS re:Invent, so you should definitely test 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 reducing vitality use by 40%.
AWS additionally offered a teaser. The corporate already has Trainium4 in growth, which is able to 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 characteristic 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 prospects consider brokers by way of 13 prebuilt analysis programs.
A nonstop AI agent employee bee
AWS introduced three new AI brokers (there’s 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 learn the way a staff likes to work so it will probably 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 reside. 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 will then high off by coaching on their very own proprietary information. AWS’s massive 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 through Amazon Bedrock to create an AI agent that handles driver and rider questions and points.
The corporate stated this AI agent has diminished common decision time by 87%. Lyft additionally stated it has seen a 70% improve in driver utilization of the AI agent this yr.
An AI Manufacturing unit for the non-public information middle
Amazon additionally introduced “AI Factories” that permit massive firms and governments to run AWS AI programs in their very own information facilities.
The system was designed in partnership with Nvidia and contains each Nvidia’s tech and AWS’s. Whereas firms that use it will probably 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 lots of firms to regulate their information and never share it, even to make use of AI.
Try the most recent reveals on all the pieces from agentic AI and cloud infrastructure to safety and far more from the flagship Amazon Internet Providers occasion in Las Vegas. This video is delivered to you in partnership with AWS.