Genomics pipelines are quickly growing in many research organizations, which means increased strain on IT resources. Too often, compute and storage availability and their performance limit the amount of research organizations can complete. By building flexibility into your infrastructure, your researchers will have easier and more efficient access to the resources they need, including:
In this recent webinar, BioTeam’s Adam Kraut talks about the exciting shift in science that requires us to change the way we think about IT infrastructure. He includes topics such as the impact of converged learning on research productivity and how machine learning is changing how organizations are architecting cloud solutions. See how IT professionals are already supporting HPC workloads with hybrid cloud to increase analytic throughput efficiency.
In 2003, the first human genome required $3 billion and fifteen years to fully sequence. Now, researchers can accomplish this $1,000 or less and in one day. Each day even more and more data is being collected, analyzed and stored. In order to combat this never-ending, explosive growth, organizations have started turning to the cloud. This short video takes a look at what a hybrid cloud model looks like in a genomics research environment, and how we can better leverage its scalable resources.
With the expanding amount of data being used in genomics research comes the need for larger polls of IT resources. Avere Systems is recognized as an impactful solution that helps these organizations leverage the cloud today and build for the more cloud-centric environment of tomorrow.
"Avere reduced latency to the cloud by more than 15X, enabling scientific applications to run at maximum performance." - Bret Martin, Principal Research Computing Architect at H3 Biomedicine