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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 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 by 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 solution 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. Trendster will proceed to replace this text by the top of AWS re:Invent, so make sure you test again.
An AI coaching chip and Nvidia compatibility
AWS launched a brand 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 good points for each AI coaching and inference whereas decreasing vitality use by 40%.
AWS additionally supplied a teaser. The corporate 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 supplies builders the flexibility 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’s going to assist its clients consider brokers by 13 prebuilt analysis techniques.
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 group 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 critiques, 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 known as Nova Forge that enables AWS cloud clients to entry pre-trained, mid-trained, or post-trained fashions that they will then prime off by coaching on their very own proprietary knowledge. 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 lowered 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 facility for the non-public knowledge heart
Amazon additionally introduced “AI Factories” that permit huge firms and governments to run AWS AI techniques in their very own knowledge facilities.
The system was designed in partnership with Nvidia and contains each Nvidia’s tech and AWS’s. Whereas corporations that use it may possibly inventory it with Nvidia GPUs, they will additionally go for Amazon’s latest homegrown AI chip, the Trainium3. The system is Amazon’s manner of addressing knowledge sovereignty, or the necessity of governments and lots of corporations to regulate their knowledge and never share it, even to make use of AI.
Take a look at the newest reveals on every thing from agentic AI and cloud infrastructure to safety and rather more from the flagship Amazon Net Companies occasion in Las Vegas. This video is delivered to you in partnership with AWS.
