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Centralized AI Inference Is Costing You More Than You Think | Ari Weil, Akamai | TFiR

Teams moving AI workloads into production routinely underestimate total cost because they model compute and storage but not data movement. Egress fees on most hyperscaler platforms run 9 to 12 cents per gigabyte and are structured to make


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Monthly Java Patches Will Triple DevOps Workload: What Enterprise Teams Must Do Now | Simon Ritter, Azul | TFiR

Oracle‘s move from a quarterly to a monthly Java security update cadence is not a minor scheduling change. For DevOps and IT teams managing


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AI Agent Architecture: LLMs, Tools, and the Hybrid Infrastructure Reality | Dr. Robert Blumofe, Akamai | TFiR

Most AI agent deployments start with the wrong architectural assumption. Teams treat the LLM as the agent, then wonder why their infrastructure costs are unpredictable and th...


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The HA Validation Gap Costing IT Teams Time and Money | Cassius Rhue, SIOS Technology | TFiR

Most high availability environments go untested until an outage forces a real failover. Without a cadence tied to p...


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Serverless Inference as a Service: Removing the AI Infrastructure Bottleneck | Jon Alexander, Akamai | TFiR

Teams that locked cloud workloads to a single availability zone or region are discovering those early decisions directly constrain how and where AI workloads can run. Unwinding that architectural debt is expensive, slow, and forces engineering teams to focus on in...


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