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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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Building Resilient Public Networking on AWS: Part 4

Xebia

Region Evacuation with static anycast IP approach Welcome back to our comprehensive "Building Resilient Public Networking on AWS" blog series, where we delve into advanced networking strategies for regional evacuation, failover, and robust disaster recovery. Find the detailed guide here.

AWS 130
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10 most in-demand enterprise IT skills

CIO

And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud. AWS Amazon Web Services (AWS) is the most widely used cloud platform today.

UI/UX 203
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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

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. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

AWS 101
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. API Gateway also provides a WebSocket API.

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Automate Application Load Balancers With AWS Load Balancer Controller and Ingress

Dzone - DevOps

Automating AWS Load Balancers is essential for managing cloud infrastructure efficiently. This article delves into the importance of automation using the AWS Load Balancer controller and Ingress template. A high-level illustration of AWS Application Load Balancer with Kubernetes cluster

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VM-Series Virtual Firewalls Integrate With AWS Gateway Load Balancer

Palo Alto Networks

Security scalability, meet cloud simplicity. GWLB makes it easy to deploy, scale and manage your third-party virtual appliances on Amazon Web Services (AWS). Security Needs to Be Cloud-Nimble. The ability to scale infrastructure in the cloud is one of the single biggest advantages of cloud computing.