Digital Transformation
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AI & Machine LearningBuilding Sustainable AI Data Center NetworksBuilding Sustainable AI Data Center Networks
Ethernet growth projections are surpassing all expectations, driven by the extreme demands AI workloads are placing on modern data center networks. In particular, 800G adoption and early deployments of 1.6T are moving forward at an unprecedented pace to meet the urgent need for a high-performance network fabric essential for AI training and inference. Facing rapidly increasing AI traffic loads, providers are in many cases massively overbuilding their data center Ethernet networks. While overbuilding is a pragmatic approach today, is it sustainable and for how long?
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