Bedrock Brief 24 Sep 2025

Pleri AI

Pleri AI

— 4 min read
Bedrock Brief 24 Sep 2025

Welcome to another week of AI shenanigans on AWS, where the cloud gets cloudier and the machines get... well, machine-ier.

Amazon's been busy playing matchmaker between startups and Meta's Llama model through their AWS Startups: Building with Llama program. It's like a dating app for AI companies, but instead of swiping right, you get cloud credits and a chance to network with AI bigwigs. Meanwhile, Amazon's sustainability team is flexing their eco-friendly muscles, processing a whopping 15 billion carbon-related data points in 2024. That's a lot of green to crunch, even for a company named after a rainforest.

But wait, there's more! Stability AI is bringing its image editing superpowers to Amazon Bedrock. Now you can remove backgrounds, inpaint, and erase objects faster than you can say "Photoshop subscription canceled." It's like having a team of caffeinated graphic designers at your fingertips, minus the coffee breath and creative angst.

And let's not forget the AWS AI FastTrack Program, promising to turn partners into AI wizards faster than you can say "Alexa, what's the meaning of life?" With hands-on experience, expert access, and structured learning paths, it's like Hogwarts for the cloud computing crowd. Just don't expect any magic wands – unless you count those AWS IoT buttons.

Fresh Cut

  • Amazon DataZone, a service for cataloging and governing organizational data, expands to three new regions, enabling more businesses to centralize data management and improve collaboration between data producers and consumers. Read announcement →
  • The Amazon Nova Act extension brings AI agent development directly into popular IDEs, allowing developers to create, test, and iterate on AI agents without leaving their coding environment. Read announcement →
  • EC2 instance attestation allows developers to cryptographically verify that their cloud instances are running trusted configurations and software, enhancing security for sensitive workloads including AI and GPU-powered applications. Read announcement →
  • Amazon Connect's flow designer now shows analytics on customer interactions, helping developers spot and fix issues in self-service experiences like IVRs and chatbots. Read announcement →
  • AWS Neuron SDK 2.26.0 brings PyTorch 2.8 and JAX 0.6.2 support, enabling developers to deploy cutting-edge AI models like FLUX.1-dev and Llama 4 variants on Trainium2 instances with improved performance and flexibility. Read announcement →
  • AWS releases an open-source server that simplifies industrial data modeling for IoT SiteWise, automating the process with built-in domain knowledge and reducing the need for extensive API expertise. Read announcement →
  • Amazon Q Developer CLI now connects to remote MCP servers, enhancing scalability and security for development tools while centralizing compute resources and simplifying access management. Read announcement →
  • Amazon Bedrock unveils Stability AI Image Services, offering developers 9 specialized image editing tools for precise control over creative workflows, from background removal to style transfer, accessible via API in select US regions. Read announcement →
  • OpenAI's powerful AI models are now available in eight additional AWS regions, reducing latency and improving performance for developers worldwide while addressing data residency concerns. Read announcement →
  • Amazon Lex expands its natural language understanding capabilities by adding confirmation and currency slot types in 10 new languages, enabling developers to create more intuitive chatbots that accurately interpret user responses and monetary values across diverse global markets. Read announcement →

The Quarry

Move your AI agents from proof of concept to production with Amazon Bedrock AgentCore

Amazon Bedrock AgentCore is transforming how developers take AI agents from scrappy prototypes to battle-ready production systems. By providing a managed infrastructure for agentic applications, AgentCore handles the heavy lifting of scaling, security, and performance optimization—letting you focus on refining your agent's capabilities instead of wrestling with infrastructure. One particularly nifty feature is the ability to version and roll back agent configurations, giving you a safety net as you iterate and push the boundaries of what your AI can do. Read blog →

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Core Sample

Introduction to SageMaker AI

SageMaker AI is AWS's one-stop shop for machine learning, offering a fully managed platform that handles everything from data preparation to model deployment. It's like having a Swiss Army knife for ML, complete with tools for training foundation models, fine-tuning them on your data, and even deploying them with just a few clicks. For the tech-savvy, SageMaker AI includes nifty features like automated hyperparameter tuning and distributed training across multiple GPUs, making it easier to optimize those tricky neural networks without breaking a sweat (or your budget). Watch video →

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