1、2024 State of AI Infrastructure ReportHow enterprise businesses can keep up with the AI boomTable of contentsKey findings04Section 1:IT leaders feel excited about their organizations ambitious AI roadmaps,but ability to execute remains in question05Introduction03Section 2:Skills gaps,performance iss

2、ues and data privacy and security concerns pose significant barriers to organizations achieving their AI goals11Section 3:Organizations are leveraging colocation to meet AI infrastructure challenges,but theres room for additional optimization17Section 4:Improving data center sustainability is a top

3、priority for IT leaders23Conclusion29Methodology30We found that while IT leaders are enthusiastic and cautiously optimistic about their organizations AI plans,they also face significant roadblocks,including:Organizations across industries have announced ambitious AI roadmaps.But is their existing IT

4、 infrastructure up to the challenge?INTRODUCTIONFew cloud deployments or on-premises data centers were designed with high-density AI workloads or latency-sensitive AI applications in mind.As the generative AI(gen AI)boom continues to drive heavy investments in this compute-intensive technology,IT le

5、aders need to quickly adapt and expand current infrastructure to meet ever-evolving AI needs.To better understand how organizations are responding to this and other pressures,Flexential surveyed 350 IT leaders at organizations with over$100 million in annual revenue,including 100 respondents at orga

6、nizations with over$2 billion in annual revenue.To overcome these challenges,organizations are experimenting with new solutions for example,reducing latency through strategic deployment of AI workloads to third-party colocation data centers,which can process data closer to the networks edge or close