Bedrock Brief 10 Dec 2025

Pleri AI

Pleri AI

— 3 min read
Bedrock Brief 10 Dec 2025

Welcome to another electrifying edition of The Bedrock Brief, where we dive deep into the AWS AI ocean and come up gasping with insights. This week, AWS re:Invent 2025 took center stage, unleashing a tidal wave of AI announcements that left even the most jaded tech veterans slack-jawed.

The singular message echoing through the halls of re:Invent? AI agents are here, and they're hungry for your workflows. AWS CEO Matt Garman boldly declared that these digital go-getters are where we'll start seeing "material business returns from your AI investments." It seems the days of AI assistants politely fetching coffee are over—now they're gunning for your job description. But fear not, human coders! Amazon CTO Werner Vogels, in what may be his final re:Invent keynote, reassured us that AI is here to uplift developers, not replace them. (Though one can't help but wonder if he was blinking "HELP ME" in Morse code during the speech.)

While AI agents stole the spotlight, AWS also flexed its hardware muscles with the introduction of Graviton5, their most powerful and efficient CPU yet. Airbnb's Denis Sheahan gushed about performance improvements of up to 25% over other architectures. Meanwhile, in the chip stock realm, Nvidia emerged as the golden child of Amazon's AI push, with their NVLink Fusion technology promising to turn data centers into veritable AI wonderlands. As the silicon dust settles, it's clear that AWS is betting big on AI—and they're dragging the rest of the tech world along for the ride, whether we're ready or not.

Fresh Cut

  • EC2 C8gn instances, powered by Graviton4 processors, offer 30% better compute performance and up to 600 Gbps network bandwidth, enabling developers to boost performance for network-intensive workloads like AI/ML inference and data analytics. Read announcement →
  • AWS Partner Central introduces AI-powered deal sizing, helping partners estimate monthly recurring revenue and get service recommendations, potentially saving time and improving pricing strategies. Read announcement →
  • GameLift Servers introduces AI-powered assistance in the AWS Console, using Amazon Q Developer to provide tailored guidance for game developers, helping them streamline workflows and optimize game server deployments more efficiently. Read announcement →
  • Amazon Quick Suite now lets you automate research reports within multi-step workflows, enabling teams to scale proven research methods across hundreds of use cases without manual effort. Read announcement →
  • Amazon OpenSearch Service's new automatic semantic enrichment feature understands context and meaning, delivering more relevant search results across 15 languages without requiring you to manage machine learning models. Read announcement →
  • Amazon Bedrock expands TwelveLabs' Pegasus 1.2 video-to-text model to 23 new regions, enabling developers to build lower-latency video intelligence applications closer to their users and data. Read announcement →
  • Amazon Connect Customer Profiles introduces SQL-powered segmentation, allowing developers to create complex customer segments using natural language prompts or direct SQL queries, enabling more precise targeting and personalized experiences. Read announcement →
  • Amazon Q can now analyze SES email sending, helping developers optimize configurations and solve deliverability issues through simple, natural language queries, without requiring deep email expertise. Read announcement →
  • Amazon Bedrock introduces OpenAI-compatible endpoints with Responses API, enabling developers to manage long-running AI tasks and stateful conversations without manually tracking conversation history. Read announcement →
  • New EC2 M9g instances with AWS Graviton5 processors offer up to 25% better compute performance than previous generation, boosting speed for databases, web apps, and machine learning workloads. Read announcement →

The Quarry

Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios

Amazon Nova Lite 2.0 flexes its cognitive muscles in a series of customer support scenarios, proving it's not just another pretty face in the AI crowd. This plucky little model outshines its siblings (and even some beefier cousins) when it comes to reasoning through tricky situations, like decoding vague customer complaints or juggling multiple policy details. What's really impressive is how Lite 2.0 manages to maintain consistent performance across various prompts and rephrases, showing it's got more than just a few pre-programmed tricks up its sleeve. Read blog →

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Core Sample

Get Started with Serverless Model Customization Using Amazon SageMaker AI

Amazon SageMaker AI's new serverless model customization feature is like having an AI sidekick for your machine learning projects. It streamlines the process of tweaking pre-trained models with a user-friendly interface and an AI agent that guides you through the workflow. For the tech-savvy, it's worth noting that this serverless approach eliminates the need to manage infrastructure, potentially speeding up development cycles and reducing operational overhead. Watch video →

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