article thumbnail

Spend Smarter, Not More: A Guide to AWS Storage Cost Optimization

Xebia

Introduction With an ever-expanding digital universe, data storage has become a crucial aspect of every organization’s IT strategy. S3 Storage Undoubtedly, anyone who uses AWS will inevitably encounter S3, one of the platform’s most popular storage services. Storage Class Designed For Retrieval Change Min.

Storage 147
article thumbnail

High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. Today’s server hardware is powerful enough to execute most compute tasks. Why HPC and cloud are a good fit? No ageing infrastructure.

AWS 147
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. Enter AWS Lambda. Today things look very different.

Lambda 86
article thumbnail

Improve DynamoDB query performance using summary data

Xebia

Given this query, the getTotalByOwner function in transaction/lambda/database.ts We can therefore save a bit of storage space by adding a summary every X records (10 in the code example). The post Improve DynamoDB query performance using summary data appeared first on Xebia.

article thumbnail

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

AWS Machine Learning - AI

Furthermore, the use of prompt engineering can notably enhance their performance. This post shows how to implement self-consistency prompting via batch inference on Amazon Bedrock to enhance model performance on arithmetic and multiple-choice reasoning tasks. Both scenarios typically use greedy decoding.

article thumbnail

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

article thumbnail

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

AWS 99