VAST Data's 'Classical HPC' Framing: When Marketing Rewrites Storage History

VAST Data&rsquo;s Jan Heichler argues that AI workloads require fundamentally different parallel file system designs than &ldquo;classical HPC&rdquo; systems [1]. The framing positions traditional parallel file systems - Lustre, GPFS (Spectrum Scale), BeeGFS - as architectural relics unsuited for modern AI. VAST&rsquo;s disaggregated, shared-everything (DASE) architecture, naturally, represents…