HPC/AI infrastructure white papers.

Measurable data compiled from RFPs, deployment, and operations across 30-plus HPC/AI infrastructure projects. Designed so that buyers and operations teams can put it to use as-is.

Full PDFs are released on a rolling basis per the Phase 1A publication schedule. Previews are sent immediately on request during a consultation.

Published papers.

• 16–20 pagesIn internal review

  The 5 Pitfalls of HPC/AI Cluster Design

  Recurring mistakes in GPU sizing, storage IOPS, networking, schedulers, and operations staffing

  Drawing on involvement in RFPs, deployment, and operations across some 30 domestic HPC/AI infrastructure projects, this paper lays out the five most recurring design and operations pitfalls alongside measurable criteria. For each pitfall, it provides checklist items and verification benchmarks that can head off the problem at the RFP stage.

  Contents · Preview →

• 12–16 pagesIn progress

  GPU Cluster Operations Automation — The Luxe Series White Paper

  An automated operations model built on 4-layer integration (Vision/Vantage/Orbit/Ray)

  The scenario and measured results of deploying the Luxe Series 4-layer architecture on a real 200-node-class GPU cluster. It compares the operational impact of chargeback implementation, heterogeneous hardware alarm integration, and OS deployment automation across three axes: staff hours, incident MTTR, and utilization.

  Contents · Preview →