Network Architecture_
The network fabric connecting GPUs is as critical as the GPUs themselves. A poorly designed or improperly cabled network turns a $50 million GPU cluster into an underperforming asset. AI training workloads are communication-intensive: distributed training requires constant synchronization across hundreds or thousands of GPUs, and network bottlenecks directly translate to wasted compute cycles and longer training times.
Leviathan Systems Scope_
Leviathan Systems installs and tests the physical network infrastructure for GPU clusters, including InfiniBand NDR/XDR cabling, 400GbE Ethernet fabric, NVLink Switch configurations, and management networks. Our network testing validates throughput, latency, and error rates before the cluster enters production.
Articles_
In-depth field articles on this topic are publishing on a rolling basis. In the meantime, see our field guides and the resources above.
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