Key takeaways

AI infrastructure extends beyond compute. Production AI depends on networking, identity, Kubernetes, storage, and observability working together as a single platform.

Enterprise adoption means fitting into existing environments. Our Q2 2026 enhancements focused on integrating with established networking, identity, and operational models rather than requiring infrastructure redesign.

Operating AI at scale requires better visibility and automation. New observability, security, and Kubernetes capabilities reduce operational complexity while improving reliability and compliance.

Q2 2026 was about platform maturity. Rather than introducing another standalone AI service, this quarter strengthened the foundation that makes production AI applications easier to deploy, operate, and scale.

In Q1 2026, we published the first post in this blog series to give our customers a better view into how Akamai Cloud is evolving to support AI inference and agentic applications.…