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Learn how test your application's performance on AWS Graviton in three easy steps. Graviton is a family of processors designed to deliver the best price performance for your cloud workloads running in Amazon Elastic Compute Cloud (Amazon EC2). In the first part, we cover what you need to consider when making the switch to Graviton. Github Resorces: https://go.aws/3KiYB7M Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.

This session explores methods for analyzing and optimizing compute performance on AWS Trainium. We begin with the hardware factors that influence performance and introduce theoretical models such as the roofline framework. Practical recommendations are provided to maximize compute efficiency. Key performance indicators are reviewed, including step time and MFU for training, as well as TTFT and OTPS for inference.

Learn how AWS is simplifying enterprise connectivity for remote sites and distributed workforces. In this session, dive deep into latest innovations in AWS Site-to-Site VPN, showcasing how enterprises can establish secure and reliable connections from remote locations to their AWS workloads.

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Agentic AI has become the next hot topic but what exactly is it? How does it differ from the generative AI we've become used to? In today's episode, Matt and Zhamara dig into what makes an AI agent, how to build a basic agentic app, and if we have time how to deploy on Amazon Bedrock AgentCore. Let's learn together in the chat!

Did you know that you could have a hand in creating the next, NFL Next Gen Stat? Join the 2025 Big Data Bowl to have your own ideas heard! You could see your stat come to live for football fans around the world - Shannon Brazil of the AWS Training and Certification team walks you through how to enter for your chance to win. Get involved with the Big Data Bowl yourself this year by clicking this link: https://awsonair.net/2025-BigDataBowl Subscribe to AWS: https://go.

In this Part 1 video, we explore the key challenges of training and deploying large-scale generative AI models — from hardware failures and underutilization to scalability and observability — and introduce Amazon SageMaker HyperPod as the purpose-built solution. We walk through HyperPod's architecture, its EKS-based orchestration layer, the full ML software stack, and key HyperPod features that help team improve ML performance and resource utilization.

Join AM Grobelny and his friends as they work their way through a puzzle set in the New York city sewers. See how they use Amazon Nova to work their way through their problems and learn along with them. Learn more about AWS GameDay: awsonair.net/gameday Follow AWS OnAir on * LinkedIn https://awsonair.net/LinkedInAWSOnAir * Twitch https://awsonair.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: [https://repost.aws/knowledge-center/cloudformation-removal-stacksets] The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

Observability is critical for running secure workloads. This session shows how to combine the AWS Cloud Development Kit (CDK), Grafana, and OpenTelemetry to build an observability solution for Amazon ECS. Learn practical methods to detect anomalies, strengthen security posture, and improve developer productivity. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

In this demo, learn how to access Amazon SageMaker JumpStart, a model library of hundreds of foundation models that you can quickly deploy, optimize , and fine tune in just a few clicks. 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.aws/more Next steps: Explore on AWS in Analyst Research: https://go.

Dikshita shows you how to resolve Athena query resource errors by following best practices to optimize query performance and resource utilization. 0:00 Introduction 0:18 Understanding Error 1:16 Data Compression 2:12 Query Management 4:46 Closing For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.