httpv://www.youtube.com/watch?v=6xtUq0p4K_s
In this video, Joel Scherpelz from Nvidia presents: RDMA for Heterogeneous Parallel Computing. Recorded at the Open Fabrics Workshop on March 27, 2012 in Monterey, CA.
…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.
With the exponential growth of data that needs to be analyzed and the data resulting from ever-more complex workflows, the need for faster data movement has never been more challenging and critical to the worlds of High Performance Computing (HPC) and machine learning. Mellanox Technologies is once again moving the bar forward with the introduction of and end-to-end HDR 200G InfiniBand product portfolio. Download the new white paper, courtesy of Mellanox, that explores in-network computing and the benefits of the switch from 100G to 200G Infiniband.
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