Tag: AWS Batch

This post was contributed by Kambiz Shahim, Ankit Kalyani, and Chris Wright. Oxford Nanopore Technologies used Mountpoint for Amazon S3, AWS Batch, and Nextflow to build EPI2ME Cloud, a managed compute environment for processing human genomes at population-scale reliably and securely while reducing computational costs by 50%. EPI2ME Cloud forms Oxford Nanopore’s suite of local […]

This post was contributed by Stefan Dittforth and Michael Mueller Introduction Oxford Nanopore Technologies (ONT) sequencing enhances genome analysis in research and healthcare with its ability to produce long-read sequencing data in real-time. Long reads improve our ability to detect structural variation, resolve repetitive regions, perform haplotype phasing and analyze full-length transcripts, providing a more […]

This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS.   In life sciences research, managing large-scale computational resources and data efficiently is important for success. However, traditional on-premises environments often struggle to meet these requirements effectively. This post […]

This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. We want to empower every scientist and engineer to solve hard problems by giving them access to the compute and analytical tools they need, when they need them. Cloud […]

This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. AWS re:Invent 2025 returns to Las Vegas, Nevada on December 1, uniting AWS builders, customers, partners, and IT professionals from across the globe. This year’s event offers you exclusive […]

This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. It’s been a busy month in the world of HPC on AWS: we’ve seen new data sets, refinements to cluster operations, and deeper thinking about how workloads map to […]

Cyclone chasing just got a whole lot smarter! Check out how DTN’s AI-powered weather model is rewriting the forecast. Brace yourself for the future of weather prediction.

Struggling with bottlenecks in your batch processing? AWS Batch’s new resource aware scheduling capability could be the solution your business needs. This feature allows you to define and manage consumable resources, helping maximize the use of your compute power. Check out our blog to learn more.

The Terraform AWS Cloud Control (AWSCC) provider now supports AWS Batch job definitions, enabling you to leverage recent and future enhancements to AWS Batch. Learn more in our latest blog post.

Exciting updates to AWS Batch on Amazon EKS! Configurable namespaces, persistent volume claims, and more. Check out our blog post to see how these features can help manage your complex containerized workloads.