1、CNCF AI Working GroupCLOUD NATIVE ARTIFICIAL INTELLIGENCEAuthorsAdel ZaaloukAlex JonesAndrey VelichkevichBoris KurktchievCassandra ChinCathy ZhangClaudia MisaleHuamin ChenJoel RobertsKai-Hsun ChenMalini BhandaruMichael YaoNikhita RaghunathPeter PanRajas KakodkarRasik PandeyRicardo AravenaRonald Pett

2、yRyan TaylorSaad SheikhShawn WilsonTom ThorleyVictor LuPUBLISHEDMARCH 20,2024(1st edition)WHITEPAPER|CLOUD NATIVE ARTIFICIAL INTELLIGENCE2EXECUTIVE SUMMARYCloud Native(CN)and Artificial Intelligence(AI)are the most critical technology trends today.Cloud Native1 technology provides a scalable and rel

3、iable platform for running applications.Given recent advances in AI and Machine Learning(ML),it is steadily rising as a dominant cloud workload.While CN technologies readily support certain aspects of AI/ML workloads,challenges and gaps remain,presenting opportunities to innovate and better accommod

4、ate.This paper presents a brief overview of the state-of-the-art AI/ML techniques,followed by what CN technologies offer,covering the next challenges and gaps before discussing evolving solutions.The paper will equip engineers and business personnel with the knowledge to understand the changing Clou

5、d Native Artificial Intelligence(CNAI)ecosystem and its opportunities.We suggest a reading path depending on the readers background and interest.Exposure to microservices2 and CN technologies3 such as Kubernetes(K8s)is assumed.For those without experience in engineering AI systems,we recommend readi

6、ng from start to finish.For those further along in their AI/ML adoption or delivery journey,per their user persona4 we suggest diving into the sections pertinent to the challenges they are grappling with or are interested in solving.We also share where society needs to invest in this context.WHITEPA