Why Gencove uses Graviton for most of their work - it's all about the science

Brendan Bouffler
Date : August 15, 2024
Categories : AI/ML ,AWS Batch ,AWS ParallelCluster ,Amazon NICE DCV ,Elastic Fabric Adapter ,Life Sciences
Tags : ai ml ,aws ,batch ,cpus ,dcv ,ec2 ,efa ,gpus ,hpc ,high performance computing ,lustre ,mpi ,nccl ,parallel cluster ,snps ,schedulers ,storage ,autoscaling ,aws batch ,bioinformatics ,cloud computing ,elastic ,elastic fabric adapter ,gencove ,genomics ,hpc instances ,infiniband ,job scheduling ,scientific computing ,supercomputing ,technical computing ,tightly coupled ,virtualization ,vizualization ,techshorts

Fascinated by the behind-the-scenes science that brings steak to your plate? Today we discuss how Gencove works at the intersection of genomics and data science to solve hard problems. Some generate new techniques - like gleaning new insights out of old data - and some are just more practical and involve putting food on your plate.

The team at Gencove long ago ported most of their workloads to AWS Graviton, which is about 40% lower cost than x86 alternatives … and that means THEY CAN JUST GET MORE SCIENCE DONE.

Follow along as scientists explain how advanced genome sequencing and data analysis helps identify cattle with superior marbling. Learn how long-read sequencing technology uncovers structural variations in DNA that can predict disease, or the juiciness of a steak.

If you have ideas for technical topics you’d like to see us cover in a future show, let us know by emailing us at ask-hpc@amazon.com.