
Effectively Managing HPC/HPDA/AI Storage Requirements: An Increasingly Critical Challenge
$2,500.00
Authors: Mark Nossokoff, Bob Sorensen
Publication Date: November 2020
Length: 4 pages
The growing proliferation of GPUs and related HPDA and HPC-based AI workloads is challenging the HPC storage architectures of conventional CPU-based designs and traditional HPC modeling/simulation workloads. Conventional HPC storage systems manage the well-understood needs of largely independent and segregated home directories and scratch files, keeping the system fully utilized for optimal performance. However, data-intensive HPDA and AI workloads, with much greater variety of heterogenous I/O profiles, are stressing the performance capabilities of the conventional storage systems and related architectures.
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