Code Together Podcast: Maximum Performance Storage for AI/HPC - How DAOS Enables Large Dataset Workloads on Aurora

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Intel Code Together podcast

ALCF's Kevin Harms and Intel's Mohamad Chaarwi discuss the capabilities of the DAOS storage system in Argonne's Aurora exascale supercomputer.

Intel, HPE, and the U.S. Department of Energy's Argonne National Laboratory are collaborating closely to deliver Aurora. Built on Intel’s architecture, Aurora's enormous scale and computing power will accelerate research in science and engineering fields at a scale that is not possible today.

In this episode of Intel's Code Together podcast, ALCF's Kevin Harms and Intel's Mohamad Chaarwi join host Tony Mongkolsmai to discuss how the open source Distributed Asynchronous Object Storage (DAOS) project will enable world-class I/O performance on Aurora.

Listen here: https://codetogether.podbean.com/e/maximum-performance-storage-for-aihpc-how-daos-will-enable-large-dataset-workloads-on-aurora/