Organizations face complex decisions deploying AI infrastructure, balancing security, costs, and performance. This IDC report explores enterprise AI use cases, hybrid deployment strategies, and the role of CPU-based solutions versus GPU systems. Read to understand AI infrastructure investments and deployment methods.
Enterprise AI adoption faces challenges as organizations balance innovation with infrastructure costs, data security, and skills shortages. IDC research shows 69% of organizations expect generative AI to disrupt competitive positioning within 18 months, while managing AI model costs is the top technology risk.
This IDC report explores AI-ready infrastructure strategies, including hybrid deployments combining cloud, edge, and dedicated systems, cost-effective CPU acceleration alternatives to GPUs, and full-stack solutions for simplified AI implementation with data security.
Read the report for strategies to balance AI performance, security, and cost.
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