This discussion examines artificial intelligence, commonly abbreviated as AI, factories with a focus on neoClouds performance GPU goodput and security. Jordan Nanos of SemiAnalysis joins theCUBE Research hosts at the NYSE Wired theCUBE studio to discuss the ClusterMAX rating system and AI infrastructure considerations. Nanos explains how neoClouds differentiate by performance reliability and speed and outlines hands-on testing methods for measuring GPU goodput conducting security audits and validating failure recovery. They emphasize that speed and rapid capacity delivery are non negotiable for neoCloud economics and that strong demand from OpenAI and Anthropic drives GPU purchases and supply constraints. Nanos also warns of significant security gaps in provider stacks and urges embargoed patching and clear ownership of the operational chain. theCUBE analysts highlight monitoring goodput and recovery time as key financial and operational predictors and discuss implications for data center design GPU procurement and vendor risk management. Watch the full conversation for detailed testing methodology vendor analysis and practical guidance for operators and investors in the AI ecosystem.
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Jordan Nanos, SemiAnalysis
August 20, 2026
Jordan Nanos
Member of Technical Staff SemiAnalysis
Gemma Allen
Host, theCUBE + NYSE Wired theCUBE
HOST
In this interview from theCUBE + NYSE Wired: AI Factories - Data Centers of the Future, Jordan Nanos, semiconductor and AI infrastructure analyst at SemiAnalysis, joins theCUBE + NYSE Wired's Gemma Allen to discuss how surging GPU demand is exposing cracks in the neocloud ecosystem. Nanos details his work on ClusterMAX, SemiAnalysis' rating system for neoclouds, explaining how speed to deployment, not just technical merit, is determining which providers win business from labs like OpenAI and Anthropic. He breaks down the "goodput" metric, which measures real-... Read more
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