CDN providers are adopting AI-driven traffic routing to optimize performance, particularly for video streaming and gaming. Machine-learning algorithms reduce egress costs by 20-30% for hyperscalers, improving throughput during traffic spikes. This enhances user experiences by minimizing latency.
AI analyzes real-time data to route traffic through optimal PoP locations, bypassing congested paths. This improves TTFB and reduces p99 latency, critical for real-time applications. The cost savings benefit providers and customers alike.
The technology is especially impactful for Multi-CDN setups, where AI coordinates traffic across multiple providers. However, implementation requires robust data pipelines, increasing complexity. Adoption is growing among large-scale platforms.
Enterprises should evaluate AI routing capabilities when selecting CDNs. Future advancements may integrate predictive analytics for even faster traffic decisions.