This talk explores how Google Batch accelerates genomics analysis on Google Cloud with two powerful solutions: 1. Accelerated DRAGEN with Google Batch and Eviden FPGAs: Combines Illumina DRAGEN bioinformatics pipelines with Google Batch and Eviden FPGAs for speed, scalability, and cost-efficiency in secondary analysis. 2. Scalable Genomics Workflows with NVIDIA Parabricks and Google Batch: Simplified GPU management, high-throughput analysis, and cost-effective scalability by automating GPU deployment and management with Google Batch.

This talk offers demonstrations and live discussions on how to rapidly deploy production-ready GKE or Slurm clusters using Cluster Toolkit and Terraform. Leverage the latest GPUs to accelerate machine learning workloads and optimize resource utilization with GKE's Kueue, autoscaling Slurm, and Dynamic Workload Scheduler (DWS). Explore storage solutions like Google Cloud Storage (GCS), GCSFuse, Filestore Zonal, and Parallelstore. Leave this session with the tools and knowledge you need to deploy a high-performance ML cluster in minutes.