Cluster network performance validation for AMD Instinct accelerators#
When running HPC and AI applications in a cluster network environment, performance is only as fast as the slowest individual node in the network. To achieve optimal performance, each server must be configured for maximum data transfer rates and bandwidth utilization based on the available hardware. It is crucial to validate both host and device performance in single-node and multi-node environments using the appropriate benchmarking tools.
Refer to the relevant networking guides for step-by-step instructions on validating network configurations in single-node and multi-node environments. These guides cover system settings, device configurations, networking tools, and performance tests to ensure AMD Instinct™-powered GPU clusters achieve optimal speed and bandwidth during operation.
Note
AMD Instinct systems vary in form and configuration, and cluster design adds additional layers of complexity. The guidelines in this documentation are written at a high level for broad applicability across diverse environments. While certain scenarios may include specific hardware examples, your setup will likely differ in terms of GPUs and CPUs per server, firmware versions, and network interconnects. Adjustments might be necessary to align with your particular configuration.