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SageMaker announces preview of ml.p5.48xlarge Instances for Inference

Introduction¶ Amazon SageMaker, a fully-managed machine learning service provided by Amazon Web Services (AWS), has recently announced the preview availability of ml.p5.48xlarge instances for inference. This new addition to SageMaker’s infrastructure aims to provide users with high-performance computing resources to deploy and run machine learning models for inference purposes. In this guide, we will explore …

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Preview of Regional Expansion for ml.p4d, ml.trn1, and ml.g5 instances on SageMaker Inference

Introduction¶ Amazon SageMaker is a powerful cloud-based machine learning platform that provides developers and data scientists with a complete set of tools to build, train, and deploy machine learning models. With SageMaker Inference, users can easily deploy models and run predictions in a highly scalable and cost-effective manner. In this guide, we will discuss the …

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Announcing Regional Expansion of ml.p4d instances for SageMaker Inference

Introduction¶ Amazon SageMaker, a fully managed machine learning service, is excited to announce the regional expansion of ml.p4d instances for inference in the Asia Pacific (Tokyo) and Europe (Frankfurt) regions. This expansion brings improved performance and scalability to users who want to deploy their machine learning models for inference across different geographic locations. In this …

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Introduction

AWS CodePipeline is a fully managed continuous integration and continuous delivery service provided by Amazon Web Services. It allows developers to automate their software release processes, increasing the speed and efficiency of their software delivery cycles. One powerful feature of CodePipeline is the ability to retry a pipeline execution from the first action in a …

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Amazon RDS Dedicated Log Volume: Enhancing Latency-sensitive Components

Introduction¶ Amazon Relational Database Service (Amazon RDS) is a managed service that simplifies the process of setting up, operating, and scaling a relational database in the cloud. In a recent update, Amazon RDS introduced a new feature called Dedicated Log Volume for their PostgreSQL, MySQL, and MariaDB database engines. This dedicated log volume allows customers …

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Personalize search results with Amazon Personalize and Amazon OpenSearch service integration

Introduction¶ Search plays a pivotal role in engaging users and driving high-intent traffic to websites. In the past, businesses often struggled to provide relevant search results to their users due to a lack of machine learning expertise or infrastructure limitations. As a result, users frequently encountered difficulties in finding the items they were searching for. …

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Metric Streams: A Comprehensive Guide to Quick Setup with AWS Partner Destinations

Introduction¶ Metric Streams, a powerful service offered by Amazon Web Services (AWS), allows users to send metrics to various AWS Partner solutions. With its recent update, Metric Streams offers a quick setup experience for AWS Partner destinations, making it easier than ever to utilize solutions such as Datadog, Dynatrace, New Relic, Splunk, Sumo Logic, or …

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Introducing Amazon CodeWhisperer Customization Capability (Preview)

With the increasing demand for customization and security in code repositories, Amazon introduces CodeWhisperer customization capability (Preview). This groundbreaking feature allows organizations to securely connect their private repositories and customize CodeWhisperer according to their specific requirements. In this guide, we will explore this new capability in detail, focusing on its features, benefits, and implementation. Additionally, …

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Introducing Recover into Existing Instance for AWS Elastic Disaster Recovery

AWS Elastic Disaster Recovery (DR) provides a robust solution to minimize downtime and data loss for both on-premises and cloud-based applications. This guide will explore AWS DRS’s new feature, Recover into Existing Instance, which allows users to retain existing metadata and security parameters associated with the instance during the recovery process. We will delve into …

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