“As highlighted in recent AvidThink research, the evolution of AI workloads is significantly increasing the complexity of networking requirements: modern systems are moving toward scale-up, scale-out, and scale-across architectures, in which compute, networking, and storage become tightly interconnected parts of a unified stack — and networking is no longer a secondary layer of infrastructure but one of the key factors determining the performance and resilience of AI systems.”
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