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How MiTAC Helps Organizations Scale for Both AI Training and Inference
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Ethernet-based AI Cluster Reference Guide
When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to achieve when using Ethernet for the back-end network. This guide showcases a high-level reference design for an 8,192 GPU cluster, describing how it can be achieved with […]
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