Effectively Managing HPC/HPDA/AI Storage Requirements: An Increasingly Critical Challenge
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.
Big Blue and Red Hat: Good News for the Technical Computing Sector
Steve Conway, Alex Norton, Earl Joseph and Bob Sorensen
IBM's decision to acquire Red Hat not only boosts the combined firm's potential to exploit the overall cloud market, but it will likely have a significant impact on the global technical computing market as well. This is based on the rapidly growing number of enterprise IT data centers that are integrating HPC into their AI and other data-intensive workloads that their enterprise servers cannot effectively handle alone.
November 2018 | Quick Take
Projected Major Near Exascale and Exascale Roll Outs and Revenues 2020-2025
Earl Joseph, Steve Conway and Bob Sorensen
Countries around the world are developing plans for the next generation of large supercomputers, with investments that exceed $300 million per system in many cases. This Quick Take provides Hyperion Research's estimate of schedules of installations and prices of accepted near-exascale and exascale supercomputers around the world.
June 2019 | Quick Take