Newsletter

Report · from Akamai

State of AI inference

This new Akamai report reveals why 50% of production AI fails at peak load due to a latency wall created by centralized cloud architectures. By surveying 200 senior practitioners, we identify the critical infrastructure

State of AI inference
Format
Report
Published by
Akamai
Added
14 Jul 2026

About this report

This new Akamai report reveals why 50% of production AI fails at peak load due to a latency wall created by centralized cloud architectures. By surveying 200 senior practitioners, we identify the critical infrastructure gap stalling AI ROI and scaling efforts.

Read this report to:

  • Overcome the latency wall: Learn how to meet the sub-250ms requirements demanded by 64% of business-critical workloads.
  • Understand the shift to distributed iIntelligence: Discover why 85% of AI leaders prioritize proximity to end users to eliminate bottlenecks.
  • Evaluate operational maturity: Gain strategies to reduce vendor lock-in and master the unit economics of scaled inference.

Listen or skim

Summaries are generated from this page’s text. Read the full piece for the detail.

More from Akamai

All 7 →

Elsewhere in AI Strategy & Governance

See the category →