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).
In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
In this white paper we discuss how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world's greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. We are continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.
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