The GPU is busy. The cluster is busy. The queue is busy. But who is actually consuming the compute, and what is that consumption costing the organization? That question gets harder when one infrastructure serves HPC simulations, AI workloads, remote engineering labs, VDI, and containerized applications. A single GPU may run a Slurm job overnight,... Continue Reading →
A new way to see how your CAE license pool is actually being used by product, or by user. Every checkout against your license servers is already logged somewhere in lmgrd, in the vendor daemon, in a debug file nobody opens until something breaks. The data has always existed. What's usually missing is a way to look at it without grepping through flat files... Continue Reading →
For most engineering organizations running CAE simulation structural, NVH, CFD, crash and impact analysis the growth path looks the same: hire another engineer, buy another high-end workstation. It works for a while. Then simulation queues stretch into the night, workstations sit idle between jobs, and every new hire means another capital asset that's busy for... Continue Reading →
For CFD and FEA workloads, cluster design is not just about adding more cores. It is about matching hardware to solver behavior, building the right node types, sizing memory correctly, choosing the right network and storage, and then managing the entire environment in a way that is easy for users and efficient for administrators. This... Continue Reading →
‘SyncHPC’ platform helps users to deploy, manage and utilize their Public Cloud Clusters from any Cloud Service Providers like Microsoft Azure, Oracle Cloud Infrastructure and many more. It also allows users to run multiple CAE applications with required HPC and workstation configuration from cloud. Let’s check out an example with LS-DYNA: This blog post describes... Continue Reading →
