Post by Yvette Dong
Hardware Engineering Manager, NVIDIA | Leading GPU & AI Hardware Design Teams | ASIC, SoC, RTL, Verification
The conversation around next-generation enterprise Wi-Fi is becoming increasingly interesting. As AI workloads expand from the data center toward the edge, network infrastructure is starting to play a much bigger role in overall system performance. It's no longer just about the radio layer — architecture across the entire stack (access points, switching, compute acceleration, and software orchestration) will ultimately determine how well these networks support data-intensive applications. Technologies like Wi-Fi 8, higher-capacity switching, and integrated processing platforms are clearly moving the industry toward lower latency and more deterministic performance, both of which will be important as AI inference, edge analytics, and real-time collaboration continue to grow. It will be interesting to see how enterprise networks evolve as connectivity, compute, and AI workloads become more tightly coupled. #Networking #WiFi8 #AIInfrastructure #EdgeComputing