1、12025 STATE OF AI INFRASTRUCTURE REPORTFLEXENTIALState of AI Infrastructure R202522025 STATE OF AI INFRASTRUCTURE REPORTFLEXENTIALTable of contentsIntroductionSection 1:The AI roadmapSection 3:The AI skills gapSection 5:Networking and security concernsConclusionReferencesKey findingsSection 2:Leader

2、ship influenceSection 4:Capacity challengesSection 6:Sustainability pressureMethodology030716233133061220283232025 STATE OF AI INFRASTRUCTURE REPORTFLEXENTIALAI is no longer a tentative or temporary experiment for most organizations.It has become a fundamental part of business operations,shaping str

3、ategy,decision-making,and innovation.But while AIs presence is expanding,so are its complexities.For our second annual State of AI Infrastructure Report,we surveyed over 350 IT leaders at companies with more than$100 million in annual revenueincluding 100 respondents from organizations exceeding$2 b

4、illionto understand how businesses are implementing AI and how its affecting their IT infrastructure.Whats clear is that companies are increasingly investing in AI technologies and expect to see measurable returns in short order.Nine in 10 companies(90%)are deploying or planning to deploy generative

5、 AI,and more than half of respondents are using it for predictive analytics,cybersecurity,autonomous systems,computer vision,or natural language processing(NLP)-based applications Fig.1.INTRODUCTIONCompanies see the use of AI as essential to staying competitive,but have they built the right systems

6、and processes to manage the demands that come with it?FIG.1What types of AI/ML use cases are you deploying or planning to deploy?Generative AI (e.g.,content generation,code suggestions,chatbots)Predictive analytics (e.g.,forecasting,anomaly detection)AI-driven cybersecurity(e.g.,threat detection,fra