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Amazon SageMaker AI helps you train, customize, and deploy ML models, including FMs, with fully managed infrastructure, tools, and workflows — and streamline every step of the data lifecycle all in a single place. Learn more about SageMaker AI here: http://go.aws/4gAmAv2 Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.

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Apache Spark on AWS Glue, Amazon EMR, and Amazon SageMaker enhances the optimization of large-scale data processing workloads. These include faster read and write throughput, accelerated processing of common file formats, and expanded Amazon S3 support through the S3A protocol for greater flexibility in write operations. In this session, we'll explore recent enhancements in Spark for distributed computation and in-memory storage to enable efficient data aggregation and job optimization.

Extend Lambda's operational simplicity to run functions on a wide range of EC2 compute instances. Unlock specialized workloads and drive cost efficiency. Access the extensive EC2 instance catalog and capacity options to best suit your diverse workloads. Lambda Managed Instances handles all infrastructure tasks—from instance lifecycle, OS and runtime patching to built-in routing, load balancing, and auto scaling based on your selected scaling parameters.

Industry pioneers partner with AWS to revolutionize healthcare, financial services, & entertainment. Discover how the most trusted cloud helps process millions of transactions, analyze medical images, & stream content globally. Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.

Learn how to build, deploy and operate agents securely at scale - using any framework and model. Dennis Traub, Developer Advocate, joins Gunnar Grosch to explain how AgentCore's building blocks can help you get agents into production. See how to deploy agents using multiple frameworks. Find out how to turn an existing AWS Lambda function behind an Amazon API Gateway endpoint into a helpful agentic tool using MCP. We are also available to answer any of your serverless questions.

Join us for a technical deep dive with Piyali Kamra, Senior Solutions Architect at AWS, as we dive into the powerful world of agentic AI using Strands Agents — a modern, flexible framework that enables developers to orchestrate intelligent workflows faster than ever. In this session, we’ll introduce what Strands Agents are and how they operate within the broader agentic AI ecosystem.

Most teams aren’t failing at Kubernetes itself — they’re failing at everything around it: Ingress and load balancers Security after the fact Engineers stuck on ops instead of product Now layer AI/ML workloads on top? Manual ops collapses. Automation isn’t optional — it’s the only scalable model. That’s the shift #AmazonEKSAutoMode is built for. @TechWorldwithNana

🤖 Skip complex configurations! Amazon Bedrock AgentCore MCP server lets you build production-ready AI agents through simple chat conversations. Add memory, security, and AWS deployment guidance instantly.

Twitch stream from aws

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn3 UltraServers, powered by Trainium3 — our fourth-generation, first 3nm AWS AI chip purpose-built to deliver the best token economics for next-generation agentic, reasoning, and video-generation applications. Each AWS Trainium3 chip delivers 2.52 PFLOPs of FP8 compute, boosts memory capacity by 1.5×, and increases bandwidth by 1.7× over Trainium2 — now providing 144 GB HBM3e memory and 4.

Join this session to master the art of building AI agents on AWS. Witness the evolution of generative AI (GenAI) that has enabled agentic systems to surpass traditional language models, and learn the fundamental principles that define an AI agent. Dive into the process of leveraging AWS serverless compute, the Strands Agents SDK, and the Model Context Protocol (MCP) to create these dynamic, adaptable agents.