Your AI and HPC workloads require large-scale compute clusters and low-latency access to large data sets, but compute resources are not always co-located with the data. Although cloud computing offers a fast and elastic option for ‘burst’ compute capacity, the process to stand up resources and manage jobs is a lot of hard admin work.

So Hammerspace and Parallel Works have co-developed a unified, integrated solution for compute and data orchestration that automates the provisioning and management of local and cloud compute resources, and orchestrates the flow of data to those compute resources. In our latest regcast, join David Flynn, CEO of Hammerspace and Matthew Shaxted, CEO of Parallel Works, who will be telling the Reg’s Tim Phillips how this works in practice. You will learn:

• · The challenge of orchestrating hybrid- and multi-cloud HPC workloads
• · The benefits of a unified control plane for HPC computing resources
• · How to combine Parallel Works' compute resource orchestration with Hammerspace global data orchestration