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Azure Virtual Machine Tutorial

The Crazy Programmer

So once a client wants a game to be developed which should run on All of the operating Systems (i.e. So Ram can deploy two Virtual Machines for each of the Operating System and test his game. So this was an example in terms of operating systems. Windows, macOS, Ubuntu). To learn more about it – [link].

Azure 249
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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

Similarly, organizations are fine-tuning generative AI models for domains such as finance, sales, marketing, travel, IT, human resources (HR), procurement, healthcare and life sciences, and customer service. These models are tailored to perform specialized tasks within specific domains or micro-domains.

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Building Resilient Public Networking on AWS: Part 2

Xebia

Deployment and Configuration Phases We approach the deployment and configuration of our infrastructure in different phases, utilizing different CDK stacks and incorporating some manual steps for resources outside of AWS. Public Application Load Balancer (ALB): Establishes an ALB, integrating the previous certificate.

AWS 147
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Deploy a Clojure web application to AWS using Terraform

CircleCI

You may need to use a search engine for instructions on how to install SSH if you don’t already have it as it’s dependent on your operating system. Although you can pick the “Free” account, because of the resources we will be using there will still be a charge. SSH installed as a command line utility. ecs-service-role.

AWS 96
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Managing CI/CD pipelines with Arm compute resource classes

CircleCI

To give developers the option to run code on Arm-based instances in their CI/CD pipelines without maintaining infrastructure on their own, we are adding new Arm-based resource classes as an option for all CircleCI users. Arm compute resource classes. The pipeline config example below shows how to define Arm resource classes.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account. Signing in to the AWS Management Console using the email address and password that you used to create the account gives you complete access to all the AWS resources in your account.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Cost optimization – The serverless nature of the integration means you only pay for the compute resources you use, rather than having to provision and maintain a persistent cluster. This flexibility helps optimize performance and minimize the risk of bottlenecks or resource constraints.