Marissa Powers

Managing HPC infrastructure shouldn’t slow down science and engineering. Learn how AI-powered agents with AWS Parallel Computing Service (AWS PCS) automate workload placement, detect and recover from failures, and simplify day-to-day cluster operations.

19 of the top 20 pharma companies run their compute on AWS. Drug discovery research and development (R&D) involves various techniques, such as microscopy imaging, molecular dynamics simulation, and virtual screening.

Navigate the critical transition from F1 to F2 instances for Illumina DRAGEN genomics pipelines as F1's end-of-life approaches in December 2025. This session demonstrates optimal configuration of DRAGEN pipelines using Nextflow and AWS Batch, focusing on performance optimization and monitoring strategies.

Biopharma researchers are looking to build and deploy models such as AlphaFold2, ProtGPT2, and ESM-2 for generative biology and chemistry. In this chalk talk we cover how to deploy NVIDIA BioNeMo on NVIDIA GPU-powered Amazon EC2 instances, AWS ParallelCluster, and Amazon SageMaker.

Whether you are focused on drug discovery and quantum chemistry or weather prediction and computational fluid dynamics, access to scale-out computing on AWS can reduce time to results. In recent years, organizations across industries have demonstrated scalability up to and beyond a million cores.