Organizations across sectors are accelerating artificial intelligence (AI) adoption without the architectural foundations required to support it. This paper examines the structural, organizational, and human…
Reproducibility has historically served as the foundation of scientific, technical, and public-sector integrity. Systems that cannot be repeated cannot be verified, and systems that cannot…
Shared AI environments deployed across universities, public agencies, healthcare systems, and regional data centers were not engineered for the concurrency patterns, workload volatility, and deterministic…
AI and accelerated computing have pushed data centers into a new thermal era. GPU racks now routinely operate at 300–600 kW, exceeding the limits of…
Modern hyperscale AI clusters depend on InfiniBand (IB) fabrics to sustain high-bandwidth, low-latency communication across tens of thousands of GPUs. However, as cluster sizes scale,…
Hyperscale AI infrastructure is increasingly constrained by two catastrophic GPU failure modes: XID-79 bus failures and HBM thermal scaling. As GPU clusters expand into tens…