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Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

AWS Machine Learning Blog

In this post, we demonstrate how you can address this requirement by using Amazon SageMaker HyperPod training plans , which can bring down your training cluster procurement wait time. We further guide you through using the training plan to submit SageMaker training jobs or create SageMaker HyperPod clusters.

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Build a Search Engine: Setting Up AWS OpenSearch

Flipboard

Home Table of Contents Build a Search Engine: Setting Up AWS OpenSearch Introduction What Is AWS OpenSearch? What AWS OpenSearch Is Commonly Used For Key Features of AWS OpenSearch How Does AWS OpenSearch Work? Why Use AWS OpenSearch for Semantic Search? Looking for the source code to this post?

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How climate tech startups are building foundation models with Amazon SageMaker HyperPod

Flipboard

In 2024, climate disasters caused more than $417B in damages globally, and theres no slowing down in 2025 with LA wildfires that destroyed more than $135B in the first month of the year alone. To offer a more concrete look at these trends, the following is a deep dive into how climate tech startups are building FMs on AWS.

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The Amount Amazon Is Actually Making on AI Will Make Your Eyebrows Raise Dramatically

Flipboard

In numbers, Microsoft, Meta, Google, and Amazon combined will spend more than $270 billion in capital expenditures to build AI data centers in 2025 alone, according to a Citigroup estimate cited by The Wall Street Journal. But last year, AWS reported an operating income of $39.8 That AI is a money pit shouldn't be surprising.

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3 ways to migrate and deploy IBM Maximo on AWS Cloud

IBM Journey to AI blog

In this journey, we are seeing an increased interest in migrating and deploying MAS on AWS Cloud. and add-ons by September 2025. This collaboration equips customers with an industry-leading asset management system from IBM, supported by the scale, agility and cost-efficiency of AWS. to version 7.6.1.2 to version 7.6.1.2

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Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch

PyImageSearch

Home Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? However, we will also provide AWS OpenSearch instructions so you can apply the same setup in the cloud. This is useful for running OpenSearch locally for testing before deploying it on AWS.

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Build a Search Engine: Semantic Search System Using OpenSearch

PyImageSearch

Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. run_opensearch.sh Running OpenSearch Locally A script to start OpenSearch using Docker for local testing before deploying to AWS. Figure 3: What Is Semantic Search? These can be used for evaluation and comparison.