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AI on SageMaker HyperPod

Optimized Blueprints for deploying high performance clusters to train, fine tune, and host (inference) models on Amazon SageMaker HyperPod

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GPUs
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Faster Training
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Orchestrated by EKSAmazon Sagemaker Hyperpod - the central infrastructure brain of your large distributed training jobsOrchestrated by SLURM
Scaling seismic foundation models on AWS with SageMaker HyperPod

Scaling seismic foundation models on AWS with SageMaker HyperPod

TGS achieved near-linear scaling for distributed training and expanded context windows using HyperPod, reducing training time from 6 months to 5 days while analyzing larger seismic volumes.

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Accelerating AI model production at Hexagon with SageMaker HyperPod

Accelerating AI model production at Hexagon with SageMaker HyperPod

Hexagon partnered with AWS to scale AI model production by pretraining state-of-the-art segmentation models using SageMaker HyperPod's model training infrastructure.

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Checkpointless Training on Amazon SageMaker HyperPod

Checkpointless Training on Amazon SageMaker HyperPod

A new training approach that reduces traditional checkpointing needs through peer-to-peer state recovery, achieving significant improvements in recovery speed and training efficiency on large GPU clusters.

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Adaptive Infrastructure with Elastic Training on SageMaker HyperPod

Adaptive Infrastructure with Elastic Training on SageMaker HyperPod

HyperPod supports elastic training capabilities, allowing ML workloads to automatically scale based on resource availability while optimizing GPU utilization and reducing operational costs.

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Speed up cluster procurement with SageMaker HyperPod training plans

Speed up cluster procurement with SageMaker HyperPod training plans

Reserve accelerated compute capacity up to 8 weeks in advance with flexible scheduling options. Training plans help organizations access compute resources for LLM training more quickly.

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SageMaker HyperPod and Anyscale for distributed computing

SageMaker HyperPod and Anyscale for distributed computing

Integrate HyperPod with Anyscale platform to address infrastructure challenges in large-scale AI development. The combined solution provides robust infrastructure for distributed AI workloads with Ray.

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Resilient development environment

Remove interruptions with a resilient development environment

Automatically detects, diagnoses, and recovers from infrastructure faults. Run model development workloads continuously for months without interruption through intelligent fault management and self-healing capabilities.

State-of-the-art performance

Efficiently scale and parallelize model training across thousands of AI accelerators

Automatically splits models and datasets across AWS cluster instances for efficient scaling. Optimizes training jobs for AWS network infrastructure and cluster topology. Streamlines checkpointing with optimized frequency to minimize training overhead.

State-of-the-art performance

Achieve state-of-the-art performance with recipes and tools

Pre-built recipes enable rapid training and fine-tuning of generative AI models in minutes. Customize Amazon Nova foundation models for business-specific use cases while maintaining industry-leading performance. Built-in experimentation and observability tools help enhance model performance across all skill levels.

State-of-the-art performance

Reduce costs with centralized governance over all model development tasks

Provides full visibility and control over compute resource allocation for training and inference tasks. Automatically manages task queues, prioritizing critical work to meet deadlines and budgets. Efficient resource utilization reduces model development costs by up to 40%.

Learn with Video Tutorials

Watch these tutorials to master Amazon SageMaker HyperPod

Accelerate FM pre-training on Amazon SageMaker HyperPod (Amazon EKS)
3:45

Accelerate FM pre-training on Amazon SageMaker HyperPod (Amazon EKS)

Amazon SageMaker HyperPod is purpose-built to reduce time to train foundation models (FMs) by up to 40% and scale across more than a thousand AI accelerators efficiently. In this video, learn about Amazon EKS support in SageMaker HyperPod to accelerate your FM training.
Learn more at: https://go.aws/3TUKZSs

Accelerate FM pre-training on Amazon SageMaker HyperPod (Slurm)
4:12

Accelerate FM pre-training on Amazon SageMaker HyperPod (Slurm)

Amazon SageMaker HyperPod is purpose-built to reduce time to train foundation models (FMs) by up to 40% and scale across more than a thousand AI accelerators efficiently. In this video, dive into how to run distributed training on SageMaker HyperPod.
Learn more at: https://go.aws/3TUKZSs

Get started with Amazon SageMaker HyperPod flexible training plans
5:28

Get started with Amazon SageMaker HyperPod flexible training plans

Amazon SageMaker HyperPod helps you scale and accelerate generative AI model development. In this video, you will learn how to use the flexible training plans feature to run efficient model training that aligns with your timelines and budgets.
Learn more about Amazon SageMaker HyperPod - https://go.aws/3WwsBA3