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DigitalOcean enhances serverless capabilities with Nimbella acquisition

TechCrunch

As developers look for ways to simplify how they create software, serverless solutions, which enable them to write code without worrying about the underlying infrastructure required to run their applications, is becoming increasingly popular. Spruill said that this wasn’t the company’s first foray into serverless.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Software-as-a-service (SaaS) applications with tenant tiering SaaS applications are often architected to provide different pricing and experiences to a spectrum of customer profiles, referred to as tiers. The user prompt is then routed to the LLM associated with the task category of the reference prompt that has the closest match.

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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

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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The Future of Serverless is … Functionless?

Stackery

I first heard about this pattern a few years ago at a ServerlessConf from a consultant who was helping a “big bank” convert to serverless. With AppSync, DynamoDB Tables, SQL Databases (via Aurora Serverless), Lambda Functions, and ElasticSearch domains have all been elevated as first-class “Data Sources” for GraphQL resolvers.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

Event-driven operations management Operational events refer to occurrences within your organization’s cloud environment that might impact the performance, resilience, security, or cost of your workloads. Create business intelligence (BI) dashboards for visual representation and analysis of event data.

Cloud 97
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Serverless and Edge Runtime Part 2

Apiumhub

This is the second post in a two-part series exploring the world of Serverless and Edge Runtime. In the previous post, we got familiar with serverless; the main focus of this post will be the Edge Runtime, where it can be useful, and what its caveats are. Edge, the Location: the concept of running servers closer to our users.

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Pixtral Large is now available in Amazon Bedrock

AWS Machine Learning - AI

AWS is the first major cloud provider to deliver Pixtral Large as a fully managed, serverless model. For more information on generating JSON using the Converse API, refer to Generating JSON with the Amazon Bedrock Converse API. In this post, we discuss the features of Pixtral Large and its possible use cases.