As AI adoption accelerates, it is becoming clear that Japanese companies’ IT infrastructure does not adequately support AI workloads. A common platform designed to operate across on-premises, cloud and edge environments, together with the flexibility provided by containers, is seen as key to the future.
According to the latest survey of Japanese companies, 77–87% of companies in the Asia-Pacific region said their own infrastructure could not adequately support AI workloads. In Japan alone, 83% of respondents said their current infrastructure could not provide adequate support when AI workloads needed to be deployed on premises.
This situation is seen as a bottleneck affecting business strategy, rather than merely a technical challenge. Companies operating AI at scale will need to overcome constraints including cost, data sovereignty, hardware availability and software complexity.
Although 51% of Japanese companies plan to introduce five or more AI-enabled applications over the next 3 years, building infrastructure that can consistently support operations across distributed environments remains a major obstacle. As companies move toward the era of distributed intelligence, an environment that functions consistently across data centres, cloud and edge environments is required.