---
id: "prereq-ai-compute-metrics"
type: "prereq"
source_timestamps: ["§ The Leaders."]
tags: ["hardware", "ai-infrastructure"]
related: ["claim-us-compute-dominance", "claim-us-china-ai-gap-closed"]
reason: "Required to grasp the scale of the U.S. hardware advantage over China and why China's algorithmic optimization is an impressive counter-strategy."
sources: ["futures"]
sourceVaultSlug: "hbr-seg-futures"
originDay: 2
articleStem: "hbr-foci-75-fragmenting-digital-economy"
sourceUrl: "https://hbr.org/2026/06/what-a-fragmenting-digital-economy-means-for-global-competition"
sourceTitle: "What a Fragmenting Digital Economy Means for Global Competition"
---
# Understanding of AI Compute Metrics (Petaflops)

**Prerequisite:** the reader must understand what a **petaflop** is — one **quadrillion (10¹⁵) floating-point operations per second** — and why a disparity of **39.7 million vs. 400,000 petaflops** constitutes a massive hardware advantage when training foundation models.

**Why it matters:** without this, the scale of the U.S. lead in [[claim-us-compute-dominance]] and the impressiveness of China's algorithmic-efficiency counter-strategy in [[claim-us-china-ai-gap-closed]] are both easy to misjudge.