Agentic AI has a latency problem that more compute won’t solve

TL;DR

Akamai's report reveals that 50% of enterprise AI deployments fail to meet latency targets, with many requiring response times under 250 milliseconds. The issue arises from the iterative nature of agentic AI processes, which can lead to significant delays.

Key Takeaways

• Assess which parts of your AI workflow are latency-sensitive.
• Implement a tiered architecture to optimize processing locations.
• Test performance budgets against real production traffic.
• Avoid relying solely on increased GPU capacity to solve latency issues.