IDC Spotlight: Data delivery requirements for AI training and inferencing
AI-driven organizations need infrastructure optimized for training and inference, with coordinated teams and flexible, secure hybrid multicloud architectures. As AI scales, performance, encryption, observability, and protection against threats like DDoS and data poisoning become essential.
Read the IDC Spotlight to learn more about:
- Scalable, flexible AI infrastructure: Organizations are transitioning from experimental AI projects to structured, repeatable deployments, emphasizing architectures that can scale and adapt to both AI training and production workloads across diverse cloud and hybrid environments.
- Focus on security and performance: There is an increasing demand for robust security measures—including end-to-end encryption, authentication, and threat protection—to ensure optimal performance and safe delivery of AI data across distributed platforms.
- Integrations and operational coordination: Successful AI implementation relies on breaking down IT silos and coordinating efforts among network, cloud, infrastructure, and storage teams, with unified platforms supporting secure, standardized environments for distributed AI applications.
IDC Spotlight, AI Training and Inference Infrastructure for Applications and Data Requires Optimized Security and Performance, Sponsored by F5. Doc. #US53901525, Publication Date (November 11, 2025)
