投稿時間:2025-07-11 04:04:47 RSSフィード2025-07-11 04:00分まとめ(6件)

カテゴリー	サイト名	記事タイトル	リンクURL	頻出ワード・要約等	登録日
AWS	AWS Machine Learning Blog	Accelerate foundation model development with one-click observability in Amazon SageMaker HyperPod	https://aws.amazon.com/blogs/machine-learning/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 SageMaker HyperPod observability you can consolidate health and performance data from NVIDIA DCGM instance level Kubernetes node exporters Elastic Fabric Adapter EFA integrated file systems Kubernetes APIs Kueue and SageMaker HyperPod task operators In this post we walk you through installing and using the unified dashboards of the out of the box observability feature in SageMaker HyperPod We cover the one click installation from the Amazon SageMaker AI console navigating the dashboard and metrics it consolidates and advanced topics such as setting up custom alerts	2025-07-10 18:37:26
AWS	AWS Machine Learning Blog	Accelerating generative AI development with fully managed MLflow 3.0 on Amazon SageMaker AI	https://aws.amazon.com/blogs/machine-learning/accelerating-generative-ai-development-with-fully-managed-mlflow-3-0-on-amazon-sagemaker-ai/	In this post we explore how Amazon SageMaker now offers fully managed support for MLflow streamlining AI experimentation and accelerating your generative AI journey from idea to production This release transforms managed MLflow from experiment tracking to providing end to end observability reducing time to market for generative AI development	2025-07-10 18:35:01
AWS	AWS Machine Learning Blog	Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI model development lifecycle	https://aws.amazon.com/blogs/machine-learning/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 models from SageMaker JumpStart as well as custom or fine tuned models from Amazon S 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	2025-07-10 18:34:14
AWS	AWS Machine Learning Blog	Supercharge your AI workflows by connecting to SageMaker Studio from Visual Studio Code	https://aws.amazon.com/blogs/machine-learning/supercharge-your-ai-workflows-by-connecting-to-sagemaker-studio-from-visual-studio-code/	AI developers and machine learning ML engineers can now use the capabilities of Amazon SageMaker Studio directly from their local Visual Studio Code VS Code With this capability you can use your customized local VS Code setup including AI assisted development tools custom extensions and debugging tools while accessing compute resources and your data in SageMaker Studio In this post we show you how to remotely connect your local VS Code to SageMaker Studio development environments to use your customized development environment while accessing Amazon SageMaker AI compute resources	2025-07-10 18:33:58
AWS	AWS Media Blog	Introducing: Guidance for a media lake on AWS	https://aws.amazon.com/blogs/media/introducing-guidance-for-a-media-lake-on-aws/	Many companies struggle to manage their vast collections of digital media files stored across multiple Amazon Simple Storage Service Amazon S buckets This scattered storage approach can create significant challenges for organizations Searching for specific content can be difficult and time consuming with organizing files effectively becoming a complex task making extracting the full value from	2025-07-10 18:00:31
科学	NYT > Science	Trump’s D.E.I. Cuts Are Hurting Rural, White Americans, Too	https://www.nytimes.com/2025/07/10/us/trump-science-nih-grants-dei-cuts.html	The N I H has terminated hundreds of diversity grants awarded to young researchers many of whom come from the very places that supported Trump	2025-07-10 18:34:15