Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI In this post, we show how this integrated approach transforms enterprise LLM fine-tuning from a complex, resource-intensive challenge...

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Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK In this post, we demonstrate how to use the CLI and the SDK to create and manage SageMaker HyperPod clusters in your AWS acc...

#Amazon #Elastic #Kubernetes #Service #Amazon #SageMaker […]

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Checkpointless training on Amazon SageMaker HyperPod: Production-scale training with faster fault recovery In this post, we introduce checkpointless training on Amazon SageMaker HyperPod, a paradi...

#Amazon #SageMaker #Amazon #SageMaker #HyperPod #Artificial […]

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Adaptive infrastructure for foundation model training with elastic training on SageMaker HyperPod Amazon SageMaker HyperPod now supports elastic training, enabling your machine learning (ML) worklo...

#Amazon #SageMaker #Amazon #SageMaker #HyperPod […]

[Original post on aws.amazon.com]

Introducing checkpointless and elastic training on Amazon SageMaker HyperPod Accelerate AI model development with new training features that enable instant recovery from failures and automatic scal...

#Amazon #SageMaker #HyperPod #Artificial #Intelligence […]

[Original post on aws.amazon.com]

Introducing checkpointless and elastic training on Amazon SageMaker HyperPod Accelerate AI model development with new training features that enable instant recovery from failures and automatic scal...

#Amazon #SageMaker #HyperPod #Artificial #Intelligence […]

[Original post on aws.amazon.com]

Power up your ML workflows with interactive IDEs on SageMaker HyperPod | Amazon Web Services Amazon SageMaker HyperPod clusters with Amazon Elastic Kubernetes Service (EKS) orchestration now support creating and managing interactive development environments such as JupyterLab and open source Visual Studio Code, streamlining the ML development lifecycle by providing managed environments for familiar tools to data scientists. This post shows how HyperPod administrators can configure Spaces for their clusters, and how data scientists can create and connect to these Spaces.

Power up your ML workflows with interactive IDEs on SageMaker HyperPod Amazon SageMaker HyperPod clusters with Amazon Elastic Kubernetes Service (EKS) orchestration now support creating and mana...

#Advanced #(300) #Amazon #SageMaker #HyperPod #Technical #How-to

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HyperPod enhances ML infrastructure with security and storage This blog post introduces two major enhancements to Amazon SageMaker HyperPod that strengthen security and storage capabilities for lar...

#Advanced #(300) #Amazon #SageMaker #Amazon #SageMaker #AI […]

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Accelerate large-scale AI training with Amazon SageMaker HyperPod training operator In this post, we demonstrate how to deploy and manage machine learning training workloads using the Amazon SageMa...

#Amazon #Elastic #Kubernetes #Service #Amazon #SageMaker […]

[Original post on aws.amazon.com]

Splash Music transforms music generation using AWS Trainium and Amazon SageMaker HyperPod In this post, we show how Splash Music is setting a new standard for AI-powered music creation by using its...

#Amazon #Elastic #Container #Service #Amazon #FSx […]

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Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing In this post, we demonstrate how to integrate Amazon SageMaker HyperPod with Anyscale platform to address critic...

#Advanced #(300) #Amazon #Machine #Learning #Amazon […]

[Original post on aws.amazon.com]

Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance In this post, we introduce topology-aware scheduling with SageMaker HyperPod task governance by submitting jobs tha...

#Amazon #SageMaker #HyperPod #Announcements #Artificial […]

[Original post on aws.amazon.com]

Powering innovation at scale: How AWS is tackling AI infrastructure challenges As generative AI continues to transform how enterprises operate—and develop net new innovations—the infrastructure...

#Amazon #SageMaker #AI #Amazon #SageMaker #HyperPod […]

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Accelerate your model training with managed tiered checkpointing on Amazon SageMaker HyperPod AWS announced managed tiered checkpointing in Amazon SageMaker HyperPod, a purpose-built infrastructure...

#Amazon #SageMaker #HyperPod #Announcements #Artificial […]

[Original post on aws.amazon.com]

Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation We are excited to announce the general availability of fine-grained compute and memory quota alloc...

#Amazon #SageMaker #HyperPod #Announcements #Artificial […]

[Original post on aws.amazon.com]

Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation We are excited to announce the general availability of fine-grained compute and memory quota alloc...

#Amazon #SageMaker #HyperPod #Announcements #Artificial […]

[Original post on aws.amazon.com]

Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation We are excited to announce the general availability of fine-grained compute and memory quota alloc...

#Amazon #SageMaker #HyperPod #Announcements #Artificial […]

[Original post on aws.amazon.com]

Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK | Amazon Web Services In this post, we demonstrate how to use the new Amazon SageMaker HyperPod CLI and SDK to streamline the process of training and deploying large AI models through practical examples of distributed training using Fully Sharded Data Parallel (FSDP) and model deployment for inference. The tools provide simplified workflows through straightforward commands for common tasks, while offering flexible development options through the SDK for more complex requirements, along with comprehensive observability features and production-ready deployment capabilities.

Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK In this post, we demonstrate how to use the new Amazon SageMaker HyperPod CLI and SDK to streamline the proce...

#Amazon #SageMaker #HyperPod

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Announcing the new cluster creation experience for Amazon SageMaker HyperPod | Amazon Web Services With the new cluster creation experience, you can create your SageMaker HyperPod clusters, including the required prerequisite AWS resources, in one click, with prescriptive default values automatically applied. In this post, we explore the new cluster creation experience for Amazon SageMaker HyperPod.

Announcing the new cluster creation experience for Amazon SageMaker HyperPod With the new cluster creation experience, you can create your SageMaker HyperPod clusters, including the required prereq...

#Amazon #SageMaker #HyperPod

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Introducing auto scaling on Amazon SageMaker HyperPod | Amazon Web Services In this post, we announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, enabling efficient scaling of SageMaker HyperPod clusters to meet inference and training demands. We dive into the benefits of Karpenter and provide details on enabling and configuring Karpenter in SageMaker HyperPod EKS clusters.

Introducing auto scaling on Amazon SageMaker HyperPod In this post, we announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, enabling efficient scaling...

#Amazon #SageMaker #HyperPod #Announcements

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Amazon SageMaker HyperPod enhances ML infrastructure with scalability and customizability In this post, we introduced three features in SageMaker HyperPod that enhance scalability and customizabili...

#Advanced #(300) #Amazon #SageMaker #Amazon #SageMaker #AI […]

[Original post on aws.amazon.com]

Beyond accelerators: Lessons from building foundation models on AWS with Japan’s GENIAC program In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator ...

#Amazon #Elastic #Kubernetes #Service #Amazon #Machine […]

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Streamline machine learning workflows with SkyPilot on Amazon SageMaker HyperPod | Amazon Web Services This post is co-written with Zhanghao Wu, co-creator of SkyPilot. The rapid advancement of generative AI and foundation models (FMs) has significantly increased computational resource requirements for machine learning (ML) workloads. Modern ML pipelines require efficient systems for distributing workloads across accelerated compute resources, while making sure developer productivity remains high. Organizations need infrastructure solutions […]

Streamline machine learning workflows with SkyPilot on Amazon SageMaker HyperPod This post is co-written with Zhanghao Wu, co-creator of SkyPilot. The rapid advancement of generative AI and foundat...

#Amazon #SageMaker #HyperPod #Announcements

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大規模AIモデルの学習時間を短縮！Amazon SageMaker HyperPodがGPUインスタンスを高速にスケール。分散トレーニングを効率化し、AI開発を加速。賢いAIをより早く実現可能に！🚀 AI #機械学習 #AmazonSageMaker #HyperPod #深層学習 #分散学習 #クラウド Link

Accelerate foundation model development with one-click observability in Amazon SageMaker HyperPod With a one-click installation of the Amazon Elastic Kubernetes Service (Amazon EKS) add-on for Sage...

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Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI model development lifecycle | Amazon Web Services In this post, we announce Amazon SageMaker HyperPod support for deploying foundation models from SageMaker JumpStart, as well as custom or fine-tuned models from Amazon S3 or Amazon FSx. This new capability allows customers to train, fine-tune, and deploy models on the same HyperPod compute resources, maximizing resource utilization across the entire model lifecycle.

Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI model development lifecycle In this post, we announce Amazon SageMaker HyperPod support for deploying foundation...

#Amazon #SageMaker #HyperPod #Announcements

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Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio In this post, we discuss how SageMaker HyperPod and SageMaker Studio can improve and sp...

#Amazon #SageMaker #Amazon #SageMaker #AI #Amazon […]

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