Testing Networks Built for and Enhanced with AI

AI is reshaping network infrastructure, driving demand for high-bandwidth, low-latency, and lossless performance to support massive AI-driven workloads. As data centers, telecom providers, and enterprises upgrade their networks to accommodate AI applications, rigorous testing and assurance are essential to ensure performance, security, and reliability.

Networks built for AI must handle unprecedented data volumes and complex traffic patterns, requiring new architectures to support distributed AI processing. The shift toward regional AI data centers, edge computing, and scalable Ethernet fabrics introduces additional performance challenges, making continuous validation a necessity. Without comprehensive testing, AI infrastructure faces risks such as bottlenecks, unpredictable latency, and security vulnerabilities that can impact real-time AI applications.