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AWS re:Invent 2025 - Architecting the future: Amazon SageMaker as a data and AI platform (ANT351)

Learn how organizations are modernizing their data architectures using the next generation of Amazon SageMaker to create AI-ready data platforms. This session covers how to design and build modern data architectures that enable both innovation and control, examining real-world patterns for data lake consolidation, cross-account governance, and AI integration. This session is ideal for enterprise architects and technical leaders planning large-scale architectural transformations to support their AI/ML initiatives.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Explore what’s new in data and AI governance with SageMaker Catalog (ANT308)

Join this session to learn about the latest capabilities in Amazon SageMaker Catalog that help organizations govern data and AI more effectively. We will walk through new features that make it easier to discover, govern, and securely share structured and unstructured data, models, business intelligence dashboards, and applications. You’ll hear how customers are using these capabilities to improve data discovery and access, streamline compliance, and support AI initiatives.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - What's new with Amazon SageMaker in the era of unified data and AI (ANT216)

Learn the latest in data and AI development with the next generation of Amazon SageMaker. In this session, we'll cover new innovations that are transforming how enterprises build, deploy, and scale analytics and AI. Dive deep into the features of SageMaker Unified Studio, discover the latest catalog capabilities, and see how our lakehouse architecture is breaking down silos between data, analytics, and AI. From streamlined development experiences to enterprise-grade governance, you'll discover why Amazon SageMaker is the best place to to work with your data at AWS.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Optimizing generative AI workloads for sustainability and cost (AIM253)

Learn how to build efficient generative AI solutions using AWS services like SageMaker and Bedrock. We'll explore practical optimization techniques including quantization and pruning, along with cost-saving infrastructure features such as spot instances and intelligent storage tiering. Discover how to leverage AWS's native capabilities to create high-performance AI solutions that are both environmentally conscious and budget-friendly.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Enabling AI innovation with Amazon SageMaker Unified Studio (ANT352)

Many enterprises want to build a culture of AI innovation and manage it at scale. Learn how a leading financial institution implemented a unified data and AI platform with built-in governance to solve this challenge. Using the next generation of Amazon SageMaker, their petabyte-scale solution enables users to discover and access data in a cloud-native marketplace then build in a unified data and AI development environment. This session is ideal for data and platform leaders looking to balance self-service capabilities with robust governance to enable AI initiatives.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Scaling foundation model inference on Amazon SageMaker AI (AIM424)

Learn how to optimize and deploy popular open-source models like Qwen3, GPT-OSS, and Llama4 using advanced inference engines such as vLLM on SageMaker. We'll explore key features including bidirectional streaming for audio and text applications, and share proven optimization techniques for inferencing. Through live demos, learn to boost performance with KV caching, intelligent routing, and autoscaling to maintain stability under varying loads. We'll demonstrate solutions for building Agentic workflows with SageMaker AI, LangChain, and Amazon Bedrock AgentCore integration and share best practices helping you confidently move from prototype to trusted AI experiences that delight users.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Sustainable and cost-efficient generative AI with agentic workflows (AIM333)

Building sustainable, cost-effective generative AI on AWS requires integrating agentic AI, efficient architecture, and cloud-native optimization. Agentic systems using Amazon Bedrock AgentCore employ contextual memory, asynchronous execution, and on-demand tool invocation to minimize compute waste. MCP enables secure connections between AI agents, AWS services, and custom tools. Efficiency increases through AWS's Trainium and Inferentia2 silicon (50% better performance per watt), Amazon SageMaker for scalable development, and optimization techniques like quantization and speculative decoding. Auto-scaling, batch processing, and spot instances prevent over-provisioning. Combined with CloudWatch and Cost Explorer monitoring, this approach delivers high-performance, low-carbon generative AI solutions.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Train high-performing AI models at scale on AWS (AIM365)

Training large AI models requires significant compute resources and can be time and cost intensive. In this session, learn to optimize and accelerate your model training workloads using AWS's purpose-built infrastructure and tools. We'll dive deep into leveraging services like Amazon SageMaker HyperPod for distributed training at scale and SageMaker fully managed training jobs for cost-effective ML acceleration. You'll learn to scale training across clusters using techniques like data and model parallelism, automated model tuning, and efficient checkpoint management. Through real customer examples, see how to reduce training time by up to 40%, optimize costs, and build high-performance training pipelines.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Streamline AI model development lifecycle with Amazon SageMaker AI (AIM364)

Learn how Amazon SageMaker AI transforms model development with a unified environment for all your AI workloads - from interactive model development on IDEs to maximizing task and compute resource utilization across training and inference workloads. We'll demonstrate how to use SageMaker Studio as the familiar IDE to develop, submit, and monitor ML jobs, while leveraging the scalability and resiliency of HyperPod environment for computationally intensive tasks like training and deploying large foundation models. You will also learn how HyperPod task governance capability can help you automatically allocate compute resources based on task prioritization end-to-end through the model development lifecycle.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Data protection strategies for AI data foundation (AIM339)

Build robust security frameworks for AI implementations through hands-on coding. We'll implement data protection patterns, secure prompt handling, and PII detection. Code along as we create privacy-preserving pipelines in SageMaker, configure IAM policies for model access control, and automate compliance checks with AWS Config. Develop defenses against prompt injection attacks, implement differential privacy techniques, and build CloudTrail audit trails. Leave with production-ready code templates for governance guardrails and technical safeguards that protect sensitive data throughout the AI lifecycle while enabling innovation and maintaining trust in your AI applications.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Turn unstructured data in Amazon S3 into AI-ready assets with SageMaker Catalog

Unstructured data often holds untapped value, and Amazon SageMaker makes it possible to turn that data into insights and AI-ready assets. In this session, you'll learn how to bring unstructured data from Amazon S3 into SageMaker, create searchable assets, and build knowledge bases for Amazon Bedrock to improve retrieval-augmented generation (RAG) accuracy. Discover how teams can collaborate across roles, data users can self-serve to find and understand the right data, and governance ensures that the right people get the right access. Bayer will share how they use these capabilities to unlock unstructured data and accelerate research and innovation.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Build, fine-tune & deploy AI models with SageMaker HyperPod CLI & SDK (AIM371)

Amazon SageMaker HyperPod helps build, train and deploy AI models at scale. You can spin-up preferred IDE on HyperPod to develop their models and run experiments, then scale to thousands of accelerators to run distributed training and finally deploy models for real-time or batch inference. With HyperPod task governance capabilities, you can optimize the utilization of the cluster resources. In this talk, we will show how interaction with HyperPod clusters is simplified via the SageMaker HyperPod CLI and SDK, which streamlined end-to-end model development, from training, fine-tuning to deployment. We'll show HyperPod CLI/SDK capabilities with live coding and troubleshooting.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Enterprise-scale ETL optimization for Apache Spark (ANT336)

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. We'll also demonstrate how these innovations, combined with Spark's native capabilities, strengthen governance and encryption to help you optimize performance while maintaining control and compliance. Join us to learn how to build unified, secure, and high-performance ETL pipelines on AWS using Spark.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2024 - Customer Keynote Autodesk

Design software pioneer Autodesk is transforming computer-aided design (CAD) by harnessing generative AI and Amazon Web Services (AWS). The company is developing advanced AI foundation models, like "Project Bernini," which can generate precise 2D and 3D geometric designs based on physical principles.

By utilizing AWS technologies such as Amazon DynamoDB, Elastic MapReduce (EMR), Amazon SageMaker, and Elastic Fabric Adapter, Autodesk has significantly enhanced its AI development process. These innovations have halved foundation model development time and increased AI productivity by 30%.

Learn more about AWS events: https://go.aws/events

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInvent2024 #AWSreInvent2024 #AWSEvents

AWS re:Invent 2024-Amazon SageMaker HyperPod: Reduce costs with new governance capability-AIM388-NEW

Teams across organizations are training new models, fine-tuning them with their data, and running inference at scale—all of which requires timely access to accelerated compute resources. Given the overwhelming demand and a finite budget, organizations are unable to allocate accelerated compute resources to each project, team, and task when needed. In this session, learn how the new governance capability in Amazon SageMaker HyperPod radically simplifies the prioritization and allocation of compute resources to teams and projects across the organization, which helps teams complete the most important generative AI development projects on time while avoiding cost overruns due to underutilized compute resources.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Deep dive into Amazon DynamoDB zero-ETL integrations (DAT348)

Amazon DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. DynamoDB lends itself to easy integration with several other AWS services. In this session, dive deep into zero-ETL integrations between Amazon DynamoDB and Amazon SageMaker Lakehouse, Amazon OpenSearch Service, and Amazon Redshift. Learn from AWS experts about how these integrations can reduce operational burden and cost, allowing you to focus on creating value from data instead of preparing data for analysis.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024-Accelerate gen AI: Amazon SageMaker HyperPod training plans & recipes(AIM301-NEW)

Amazon SageMaker HyperPod is purpose built for developing foundation models (FM), reducing time to train by up to 40%. To accelerate generative AI innovation even more, SageMaker HyperPod now empowers users to create flexible training plans with multiple blocks of accelerated compute resources, allowing them to train FMs within their budgets and timelines. In addition, users can get started quickly with the ready-to-use SageMaker HyperPod recipes to train and fine-tune popular publicly available FMs in hours instead of weeks with state-of-the-art cost performance.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - High performance distributed model training with Amazon SageMaker (AIM380)

Foundation models continue to grow in size with billions or even trillions of parameters, and they often won’t fit into a single accelerator device such as a GPU. Amazon SageMaker distributed training capabilities help you apply advanced parallelization techniques, communication optimizations, and efficient checkpointing strategies to distribute your training workload across hundreds or thousands of GPUs, reducing model training time and cost by up to 20%. Join this session for a deep dive into the infrastructure used to run distributed training at scale. Learn how to integrate Amazon SageMaker training capabilities to reduce the total cost of foundation model development.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Accelerate ML workflows with Amazon SageMaker Studio (AIM355)

Unlock the power of Amazon SageMaker Studio, a comprehensive IDE for streamlining the machine learning (ML) lifecycle. Explore data exploration, transformation, automated feature engineering with AutoML, and collaborative coding using integrated Jupyter Notebooks. Discover how SageMaker Studio MLOps integration simplifies model deployment, monitoring, and governance. Through live demos and best practices, learn to leverage SageMaker Studio tools for efficient feature engineering, model development, collaboration, and data security.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - AI-powered data integration and governance with Amazon Q Developer (ANT352-NEW)

Discover how the AI-driven capabilities of Amazon Q Developer streamline data integration across AWS services, such as AWS Glue, Amazon SageMaker Catalog, Amazon Redshift, Amazon SageMaker AI, and more. Learn how data engineers and ETL developers can build complex jobs, troubleshoot, and explore data using natural language through an intuitive chat interface in Amazon SageMaker Unified Studio. Join this session to see how Amazon Q Developer enhances productivity and accelerates workflows, transforming the way you handle data integration.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024