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Types of Cloud Computing Platforms

Analytics Vidhya

Introduction Explore the exciting world of cloud computing! This blog post will overview the different cloud platform types, their benefits, and their uses. Everyone, from beginners to experts, will be able to gain insight into the types of cloud computing platforms that best fits their needs.

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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning Blog

AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. For more information on how to view and increase your quotas, refer to Amazon EC2 service quotas.

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Top announcements of AWS re:Invent 2024

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AWS re:Invent 2024, our flagship annual conference, is taking place Dec. This premier cloud computing event brings together 2-6, 2024, in Las Vegas.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

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Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Then we introduce the solution deployment using three AWS CloudFormation templates.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning Blog

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. This challenge is particularly acute in credit markets, where the complexity of information and the need for quick, accurate insights directly impacts investment outcomes.

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How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

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In this post, we explore how you can use Anomalo with Amazon Web Services (AWS) AI and machine learning (AI/ML) to profile, validate, and cleanse unstructured data collections to transform your data lake into a trusted source for production ready AI initiatives, as shown in the following figure.