1、COMMISSIONED BYRESEARCHED BYRethinking critical AI infrastructureHow on-device infrastructure is emerging as a platform for enterprise AI development and deploymentIn todays rapidly evolving AI landscape,enterprises have leaned heavily on cloud and on-premises infrastructure to fuel AI development a
2、nd deployment.Many organizations adopt a hybrid approach,utilizing the most appropriate infrastructure for the task at hand.However,many havent fully evaluated where on-device AI delivers measurable advantages.Insights from Omdias exclusive study of over 1,500 enterprise technology leaders and pract
3、itioners including CIOs,CTOs,software engineers,and AI specialists reveal organizations are increasingly questioning whether their current infrastructure truly serves three critical dimensions:their security requirements,unpredictable and ongoing costs,and the need to match infrastructure to workloa
4、d requirements.These pillars define the on-device advantage,providing an architectural solution to the security,economic,and workload challenges facing the modern enterprise.Rethinking AI with on-device infrastructureINTRODUCTION02RETHINKING CRITICAL AI INFRASTRUCTURESecurity Architectural privacy o
5、ver procedural workaroundsThree-quarters of enterprises say they are concerned about potential data leakage through cloud services;on-device AI has a clear advantage in that data that never transmits cannot leak in transmission.With 99%of enterprises handling proprietary data in their AI workflows,t
6、he ability to process locally is becoming a critical security requirement eliminating transmission risks and securing AI-assisted workflows without relying on procedural controls.EconomicsUnlimited experimentation and predictable production costsOn-device infrastructure has near-zero marginal cost a