Standard for Performance Benchmarking for AI Server Systems

Abstract

Artificial intelligence (AI) computing differs from generic computing in terms of device formation, operators, and usage. AI server systems, including AI server, cluster, and high-performance computing (HPC) infrastructures are designed specifically for this purpose. The performance of these infrastructures is important to users not only on generic models but also on the ones for specific domains. Formal methods for the performance benchmarking for AI server systems are provided in this standard, including approaches for test, metrics, and measure. In addition, the technical requirements for benchmarking tools are discussed.

Associated Landscape report
ICT rolling plan topic
Web 4.0 and virtual worlds
SDO
IEEE
Standard/Working group
Standard
Standard Number
IEEE 2937-2022