Remove Artificial Inteligence Remove Microservices Remove Serverless
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Can serverless fix fintech’s scaling problem?

CIO

With serverless components, there is no need to manage infrastructure, and the inbuilt tracing, logging, monitoring and debugging make it easy to run these workloads in production and maintain service levels. Financial services unique challenges However, it is important to understand that serverless architecture is not a silver bullet.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. You ask the agent to Book a 5-day trip to Europe in January and we like warm weather.

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

AWS Machine Learning - AI

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. It will be marked for deletion and will be deleted when all executions are stopped.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

The solution is designed to be fully serverless on AWS and can be deployed as infrastructure as code (IaC) by usingf the AWS Cloud Development Kit (AWS CDK). Figure – solution architecture diagram Solution walk-through The solution consists of three microservice layers, which we discuss in the following sections.

Cloud 97
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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning - AI

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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Radar trends to watch: May 2022

O'Reilly Media - Ideas

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient. It’s part of the TinyML movement: machine learning for small embedded systems.