Remove Lambda Remove Resources Remove Scalability
article thumbnail

Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

article thumbnail

We are still early with the cloud

Erik Bernhardsson

Infinite scalability. Do we need IP addresses, CIDR blocks, and NATs, or can we focus on which services have access to what resources? Do we need to reserve resources advance (like having a cluster of n workers, each having x GB of RAM), or can we let the runtime expand/shrink in a split second? I think we might be early though?

Cloud 273
Insiders

Sign Up for our Newsletter

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

article thumbnail

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda. A Lambda function pulls the appropriate prompt template from the Lambda layer and formats model prompts by adding the customer input in the associated prompt template. awscli>=1.29.57

article thumbnail

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

AWS 120
article thumbnail

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

Honeycomb

Our work has focused on tackling both the compute efficiency of our code, and its ability to employ extra resources. Enter AWS Lambda. It comes with significant limitations , but overcome these, and Lambda enables tremendous scalability in a sub-second timeframe. Supercomputing by the second. Not nearly enough.

Lambda 86
article thumbnail

Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority.

article thumbnail

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow invokes a Lambda function to generate a status report. Image processing workflow When the DynamoDB table is updated, DynamoDB Streams triggers a Lambda function to start a new Step Functions workflow.

AWS 126