Description
The use of clouds for HPC workloads over the last 12-24 months has undergone a decided shift. Conversations had largely centered around whether cloud-based resources could be reliably utilized at scale at performance levels required for complex HPC workloads. They have now evolved to dialogues seeking understanding of which workloads are capable of being migrated to the cloud to meet a user’s cost, performance, security, and support requirements. This is inclusive of traditional HPC modeling and simulation (mod/sim) workloads and modern AI/HPDA/LLM workloads.
