In this video, Christian Kniep from QNIB demonstrates a containerized HPC environment.
Based on a containerized HPC environment this talk shows of a state-of-the-art stack including performance monitoring, log event handling and GraphDB based inventory to provide insights into what is going on within a SLURM cluster. The framework used is QNIBTerminal incorporating the ELK stack, a graphite backend and neo4j as a GraphDB.
Many industries are starting to run HPC in the cloud. Find out how GPU-accelerated compute, from AWS and NVIDIA, is helping organizations run HPC workloads and AI/ML jobs faster, in a more energy-efficient way.
The high-performance computing (HPC) market is witnessing a notable shift towards the cloud, partially driven by the benefits of enhanced energy efficiency. According to Hyperion Research nearly every organization running HPC workloads is either already using or investigating the cloud to accelerate application performance, with the cloud market for HPC workloads forecast to reach $11.5 […]
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