In this video, Sarah Tariq from Nvidia presents: Lessons learned in improving scaling of applications on large GPU clusters.
The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
…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.
Today, through their ability to adapt, solve problems and simulate human intelligence, AI-based applications are being used across industries and sectors to supplement human ability. Download the new special report from insideHPC, "Augmented Intelligence in Government," brought to you by Dell, to discover the latest technologies that underpin AI, explore current machine learning applications in government, learn from real-world successes, and see how government agencies can benefit from AI.
Copyright © 2021