ACCELERATING MULTI-NODE PERFORMANCE OF MACHINE LEARNING WORKLOADS

Examples described herein relate to a network interface and at least one processor that is to indicate whether data is associated with a machine learning operation or non-machine learning operation to manage traversal of the data through one or more network elements to a destination network element and cause the network interface to include an indication in a packet of whether the packet includes machine learning data or non-machine learning data. In some examples, the indication in a packet of whether the packet includes machine learning data or non-machine learning data comprises a priority level and wherein one or more higher priority levels identify machine learning data. In some examples, for machine learning data, the priority level is based on whether the data is associated with inference, training, or re-training operations. In some examples, for machine learning data, the priority level is based on whether the data is associated with real-time or time insensitive inference operations.