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AWS SageMaker HyperPod integrates new Ray capabilities for foundation model training

By PulseAugur Editorial · [2 sources] ·

Amazon SageMaker HyperPod now offers enhanced integration with the open-source Ray framework, simplifying the process of training and serving foundation models. This update allows data scientists to manage Ray clusters directly within SageMaker Studio, eliminating the need for manual Kubernetes configuration and complex command-line operations. The integration provides automatic fault tolerance, faster job resumption through tiered checkpointing, and streamlined access to dashboards and model weights. AI

IMPACT Simplifies distributed training and serving of large models for AI developers using AWS infrastructure.

RANK_REASON This is a product update integrating an open-source framework into a cloud ML platform, not a novel model release or core research.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AWS SageMaker HyperPod integrates new Ray capabilities for foundation model training

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Tool
This is a product update integrating an open-source framework into a cloud ML platform, not a novel model release or core research.
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2 independent sources
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infra, product
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High
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66 days old
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COVERAGE [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Nilesh PS ·

    Introducing new Ray capabilities on SageMaker HyperPod

    Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMake…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    AWS announced new Ray capabilities on SageMaker HyperPod integrating Ray with HyperPod infrastructure for foundation model training and serving. Source: AWS Mac

    AWS announced new Ray capabilities on SageMaker HyperPod integrating Ray with HyperPod infrastructure for foundation model training and serving. Source: AWS Machine Learning Blog https:// aws.amazon.com/blogs/machine-l earning/introducing-new-ray-capabilities-on-sagemaker-hyperpo…

    LINKS aws.amazon.com/…/introducing-new-ray-capa…

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