# Hyperscale Resource Allocation **Entity class:** Infrastructure-management concept **Domain:** Artificial intelligence / Cloud computing **Maturity:** Developed ## Definition Hyperscale resource allocation assigns power, accelerators, storage, networking, and staff across very large computing fleets and competing workloads. ## Mechanism and significance At AI-factory scale, scheduling becomes an economic and strategic discipline because idle or poorly matched resources destroy enormous amounts of potential output. ## 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:** [[Compute Leasing]] · [[Compute Ownership]] · [[Cost per Attempt]] · [[Cost per Token]] ## 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.