In this video from the HPC Advisory Council Switzerland Conference, Axel Koehler from Nvidia presents: Management of large-scale GPU Clusters. Download the slides (PDF).
Video: Management of large-scale GPU Clusters
March 14, 2013 by 
Industry Perspectives
HPC: Stop Scaling the Hard Way
…today’s situation is clear: HPC is struggling with reliability at scale. Well over 10 years ago, Google proved that commodity hardware was both cheaper and more effective for hyperscale processing when controlled by software-defined systems, yet the HPC market persists with its old-school, hardware-based paradigm. Perhaps this is due to prevailing industry momentum or working within the collective comfort zone of established practices. Either way, hardware-centric approaches to storage resiliency need to go.
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insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads
Not too long ago, building a converged HPC/AI environment - with two domains: High Performance Computing (HPC) and Artificial Intelligence (AI) - would require spending a lot of money on proprietary systems and software with the hope that it would scale as business demands changed. In this insideHPC technology guide, as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
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