TOI Author

Data center switches and servers have traditionally been managed by separate teams using different tools creating complexity in setting up and maintaining the end to end network in the datacenter. In an AI network, the nature of the workload amplifies the effect of a single server’s network failure or network misconfiguration impacting the work of large numbers of machines in the network. This is costly both in lost productivity and in the high level of support required to fix network errors that can occur in the compute and network domains.