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GeezerVison is showing aws.amazon.com — Machine Learning

Machine Learning

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Maximize business outcomes with machine learning on AWS

Streamline every step of the ML lifecycle with the most comprehensive set of services and purpose-built infrastructure

Get started with ML
Connect with a specialist

Machine learning on AWS

AWS helps you innovate with machine learning (ML) at scale with the most comprehensive set of ML services, infrastructure, and deployment resources. From the world’s largest enterprises to emerging startups, more than 100,000 customers have chosen AWS machine learning services to solve business problems and drive innovation. With SageMaker AI, you can build, train, and deploy machine learning and foundation models at scale with infrastructure and purpose-built tools for each step of the ML lifecycle.

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What's new

Blog Blog

Accelerate your model training with managed tiered checkpointing on Amazon SageMaker HyperPod

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Blog Blog

Use AWS Deep Learning Containers with Amazon SageMaker AI managed MLflow

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Blog Blog

Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation

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Blog Blog

Accelerate your data and AI workflows by connecting to Amazon SageMaker Unified Studio from Visual Studio Code

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Machine learning tools to build at scale

Service

Amazon SageMaker AI

Build, train, and deploy ML models at scale

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Service

AWS Deep Learning AMIs

Quickly build scalable, secure deep learning applications in preconfigured environments

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Service

AWS Deep Learning Containers

Quickly deploy deep learning environments with optimized, prepackaged container images

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Framework

Hugging Face on Amazon SageMaker

Train and deploy Hugging Face models in minutes

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Framework

TensorFlow on AWS

Enhance and visualize deep learning applications with ML tools

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Framework

PyTorch on AWS

Leverage a highly performant, scalable, and enterprise-ready PyTorch experience on AWS

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Framework

Apache MXNet on AWS

Build ML applications that train quickly and run virtually anywhere

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Framework

Jupyter on AWS

A secure, scalable, and collaborative Jupyter experience on AWS

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Infrastructure that pushes the envelope to deliver the highest performance while lowering costs

Explore more AI infrastructure capabilities
Instances

Amazon EC2 Trn1 Instances

Get high-performance, cost-effective training of generative AI models

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Instances

Amazon EC2 P5 Instances

Get the highest performance GPU-based instances for deep learning and EFA applications

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Instances

Amazon EC2 Inf2 Instances

Get high performance at the lowest cost in Amazon EC2 for generative AI inference

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Instances

Amazon EC2 G5 Instances

Get high-performance GPU-based instances for graphics-intensive applications and ML inference

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Feature

Amazon SageMaker HyperPod

Leverage a purpose-built infrastructure for distributed training at scale

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Building AI responsibly

The rapid growth of AI and intelligent agents brings promising innovation and new challenges. At AWS, we make responsible AI practical and scalable, freeing you to accelerate trusted AI innovation. Our science-based best practices and tools—including the AWS Well-Architected Responsible AI Lens, Amazon Bedrock Guardrails, Amazon Bedrock AgentCore—help you build and operate AI responsibly across your use cases. Build with responsible AI practices from day one to move faster with confidence and earn customer trust.

Learn more about responsible AI
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Resources to develop your machine learning skills

Explore more machine learning training
Resources

AWS Solutions Library

Browse curated solutions and guidance for common AI use cases

Browse AI solutions library
Hands-on experience

AWS DeepRacer League

Expand your ML skills by competing in the world’s first global autonomous racing league

Get started
Hands-on experience

Amazon SageMaker Studio Lab

Learn and experiment with ML

Get started
Hands-on experience

Machine Learning Tutorials

Learn how to use Amazon SageMaker to accomplish various ML lifecycle tasks

Get started
Training

AI Courses for Machine Learning Engineers

Curated training resources for data scientists and ML engineers

Get started

Start building with agentic AI

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Connect with a specialist

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