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From “Secondary Storage” To Just “Storage”: A Tale of Lambdas, LZ4, and Garbage Collection

Honeycomb

When we introduced Secondary Storage two years ago, it was a deliberate compromise between economy and performance. Compared to Honeycomb’s primary NVMe storage attached to dedicated servers, secondary storage let customers keep more data for less money. Today things look very different. Today things look very different.

Lambda 86
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4 paths to sustainable AI

CIO

Some hyperscalers offer tools and advice on making AI more sustainable, such as Amazon Web Services, which provides tips on using serverless technologies to eliminate idle resources, data management tools, and datasets. AWS also has models to reduce data processing and storage, and tools to “right size” infrastructure for AI application.

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Azure Developer Tutorial: HTTP Trigger Functions with C# and.NET Core

Gorilla Logic

It is easy to implement a serverless function that can be accessed as an API. An Azure Function , or “Function App,” is a serverless application that can be created in minutes (depending on the scope) and has the option of being developed in different programming languages to solve different problems. What is an Azure Function?

Azure 95
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How to prepare for the AZ- 204 Exam: An Articulated Case Study

Cloud That

Durable Functions for Serverless Computing. Storing data with Blob Storage & Cosmos DB. Durable Functions for Serverless Computing. Sending and Receiving Messages through Service Bus and Storage Queue. Durable Functions for Serverless Computing. Storing data with Blob Storage & Cosmos DB. Conclusion.

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Data Integration on Oracle Cloud Infrastructure

Apps Associates

Oracle Cloud Infrastructure Data Integration is a next generation, fully managed, multi-tenant, serverless, native cloud ETL service. Serverless execution, pay-as you go pricing model . Load the data into object storage and create high-quality models more quickly using OCI data science. Linux or Windows. Only Linux.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. The OpenSearch Serverless collection. This process comes with intelligent diffing, throughput, and failure management. The S3 bucket.

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Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

AWS Machine Learning - AI

We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. Use OpenSearch Serverless with the vector engine feature to search for the top K most relevant document indexes in the embedding space. An OpenSearch Serverless collection.