AvidThink Data Center Networking for AI and Cloud Report

The data center networking landscape is undergoing rapid transformation driven by generative AI workloads. Major industry players are directing unprecedented investments into AI infrastructure — Microsoft alone plans USD 80B in data center buildouts for 2025.

This massive investment fundamentally reshapes traditional architectures as AI training and inference demands push networks to new performance extremes: 400/800Gbps backend speeds, sophisticated congestion control, and ultra-low latency. However, this expansion faces significant energy generation constraints, with projections indicating a need for 47 GW of incremental power generation capacity in the US through 2030.

Despite the exuberance, several factors could moderate AI workload growth:

Power Availability
DeepSeek Impact
Monetization Challenges
Inference Focus
Efficiency Innovations

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