Description
As more HPC users look to leverage the cloud to augment their on-prem resources or run cloud-natively, containers have emerged as a viable portable method for deploying their workloads more easily, consistently, and repeatedly anywhere (on-prem, in the cloud, or hybrid), decoupled from any one vendor’s HPC system or single CSP’s framework. Containers also aim to address requirements demanded by both HPC and enterprise IT datacenters (performance, automation, ease of application deployment, security, reliability, and scalability), an important attribute as enterprise IT datacenters increasingly adopt HPC infrastructure to implement their HPDA and AI workflows.
