Topic

Compute Infrastructure

Compute infrastructure refers to the physical and virtual hardware systems that power AI model training, inference, and deployment, including GPUs, TPUs, cloud services, and data centers. Organizations must govern compute infrastructure to control costs, ensure security, manage resource allocation, and maintain audit trails for compliance with regulatory requirements. Proper oversight of compute infrastructure is critical for preventing unauthorized access to sensitive models, detecting unusual usage patterns, and enforcing data residency and environmental standards.

1 item

ResearchGlobal2026-04-19

Verifiable Semiconductor Manufacturing Could Secure AI Supply Chains, Oxford Martin AIGI Research Finds

The Oxford Martin AI Governance Initiative published a research paper on April 14, 2026, examining verifiable semiconductor manufacturing as a mechanism for ensuring transparency and trustworthiness in AI compute infrastructure supply chains. The research addresses how verification methods can be applied to semiconductor production processes to provide assurance about the origin and integrity of chips used in AI systems. For enterprise compliance teams, the work is relevant to emerging expectations around AI hardware provenance, particularly as regulators and standards bodies increasingly scrutinize the full stack of AI system components. Organizations procuring AI compute infrastructure may face future requirements to demonstrate supply chain integrity, and this research contributes to the methodological basis for such frameworks.

semiconductors supply chain compute infrastructure verification AI governance hardware provenance transparency procurement Oxford Martin AIGI