01775nam 2200373 450 99657497960331620231205170137.01-5044-8854-7(IEEE)9930946(CKB)25219802500041(NjHacI)9925219802500041(EXLCZ)992521980250004120231205d2022 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier"2937-2022 - IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems" /IEEENew York :IEEE,2022.©20221 online resource (54 pages)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.Artificial intelligenceHigh performance computingArtificial intelligence.High performance computing.006.3NjHacINjHaclDOCUMENT996574979603316"2937-2022 - IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems"3881733UNISA