Routing & Networking

Distributed AI Inference: Cut Latency 75% Without Changing Your Model

LLM inference cost is a model problem and an architecture problem. Centralized inference adds 100–180ms of network latency per request and forces over-provisioning to maintain p95. Learn how distributed execution cuts inference origin load by up to 60% and global p50 latency by 75%.

AUG 3, 2026 • 11 min read

OWASP Top 10:2025 – Move Security to Programmable Infra

OWASP Top 10:2025 shifts AppSec from code-level mistakes to architectural and supply-chain risks. Learn why legacy WAFs fall short and how a programmable infrastructure approach (WAF + Functions + bot and rate controls) mitigates modern threats from access control to zero-days.

JAN 21, 2026 • 11 min read

How Azion Cuts Cloud Bills and Slashes Egress Costs

Learn how distributed architectures dramatically reduce egress, latency, and observability costs by moving compute, caching, and compression closer to users. This article combines benchmarks, real-world transformations, and practical patterns to show how Azion helps teams optimize traffic, lower TCO, and build faster, more efficient applications.

NOV 17, 2025 • 10 min read

How Latin America Can Close the Digital Gap

Bridge Latin America's Digital Divide with Decentralized Infrastructure. Learn how it cuts latency, costs, and enables vital digital services.

NOV 3, 2025 • 10 min read

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