Showing items from AWS Batch

Perform batch transforms with Amazon SageMaker Jumpstart Text2Text Generation large language models

Today we are excited to announce that you can now perform batch transforms with Amazon SageMaker JumpStart large language models (LLMs) for Text2Text Generation. Batch transforms are useful in situations where the responses don’t need to be …

Benchmarking the Oxford Nanopore Technologies basecallers on AWS

Oxford Nanopore sequencers enables direct, real-time analysis of long DNA or RNA fragments. They work by monitoring changes to an electrical current as nucleic acids are passed through a protein nanopore. The resulting signal is decoded to …

Run Celery workers for compute-intensive tasks with AWS Batch

Many applications leverage distributed task systems like Celery to handle asynchronous work. In this post, we describe how to handle compute-intensive Celery tasks using AWS Batch to scale the compute resources and run worker agents. Read …

How Evolvere Biosciences performs macromolecule design on AWS

In this blog post, we catch a glimpse into drug discovery to see how Evolvere Biosciences has deployed a customized architecture w/ AWS Batch and Nextflow to quickly and easily run its macromolecule design pipeline. Read the Post on the AWS …

Create SageMaker Pipelines for training, consuming and monitoring your batch use cases

Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other …

Explore costs of AWS Batch jobs run on Amazon EKS using pod labels and Kubecost

Today we show you how to get insights into the costs of running AWS Batch workloads on Amazon EKS using Kubernetes pod labels with Kubecost. Read the Post on the AWS Blog Channel

Building a 4x faster and more scalable algorithm using AWS Batch for Amazon Logistics

In this post, AWS Professional Services highlights how they helped data scientists from Amazon Logistics rearchitect their algorithm for improving the efficiency of their supply-chain by making better planning decisions. Leveraging best …

Optimizing your AWS Batch architecture for scale with observability dashboards

AWS Batch customers often ask for guidance to optimize their architectures and make their workload to scale rapidly. Here we describe an observability solution that provides insights into your AWS Batch architectures and allows you to …