AI Inference Costs: Growth vs. Margin Trade-off | Ari Weil, Akamai | TFiR
Teams scaling AI inference globally must choose between optimizing for user growth and mindshare or margin and ...
The Hidden AI Infrastructure Costs Beyond Compute Pricing | Ari Weil, Akamai | TFiR
Ari Weil of Akamai breaks down what technology leaders miss when managing AI costs, covering data egress ...
How to Measure the Unit Economics of AI Inference | Ari Weil, Akamai | TFiR
Ari Weil, VP Product Marketing at Akamai, explains how to use real user monitoring, FinOps tooling, and ...
How to Decide Where AI Inference Should Run: Edge vs. Centralized | Ari Weil, Akamai | TFiR
Ari Weil of Akamai breaks down which AI inference workloads require edge distribution, which do not, and ...
Edge AI Inference: The Last-Mile Problem Centralized Clouds Cannot Solve | Ari Weil, Akamai | TFiR
Ari Weil of Akamai explains why centralized GPU clusters cannot meet the latency demands of fraud detection, ...
Fine-Tuned vs. Frontier Models: What Really Drives AI Cost | Ari Weil, Akamai | TFiR
Ari Weil of Akamai breaks down why copying AI models to solve latency silently inflates infrastructure cost, ...
AI Infrastructure Cost Modeling: What Architects Miss Before Production | Ari Weil, Akamai | TFiR
Ari Weil of Akamai explains how physical inference location, cross-zone transfer fees, and internet egress charges at ...
Token Pricing Hides the Real Cost of Running AI in Production | Ari Weil, Akamai | TFiR
Ari Weil of Akamai explains why AI inference, not training, is the cost that compounds in production ...
Building AI Governance Across Distributed Enterprise AI | Ari Weil, Akamai | TFiR
Ari Weil of Akamai breaks down why AI governance for distributed inference must be situational, how compliance ...
Distributed Cloud vs. Centralized Cloud for AI Inference | Ari Weil, Akamai | TFiR
Ari Weil of Akamai breaks down why centralized cloud deployments fail under production AI inference load, how ...
