# H100 Scarcity **Entity class:** Compute-market condition **Domain:** Artificial intelligence / Compute **Maturity:** Developed ## Definition H100 scarcity describes periods in which demand for NVIDIA H100 accelerators exceeds supply, limiting training, inference, and deployment capacity. ## Mechanism and significance Scarcity redistributes advantage toward organizations with capital, supplier relationships, data-center readiness, and the ability to schedule expensive hardware efficiently. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Model Architecture and Compute Economics|Model Architecture and Compute Economics]] - **Primary fields:** [[Machine Intelligence]] · [[AI Infrastructure]] · [[Compute Race]] - **Adjacent concepts:** [[NVIDIA B300]] · [[NVIDIA NVL72]] · [[GPU Secondary Market]] · [[Land-Power-Shell Data Center]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.