New Flexential Survey Unveils AI Infrastructure Challenges and Investment Priorities
The 2024 State of AI Infrastructure Report shows that 93% of respondents said there would be consequences if their organizations don't achieve the goals laid out in their AI roadmaps
The report findings are based on a survey of 350 IT leaders at organizations with over
Among organizations with AI roadmaps, 59% of respondents said increasing IT infrastructure investments was an element of that roadmap. Flexential's survey also found that 45% of respondents from organizations with AI roadmaps said failing to meet the goals in their roadmap would affect their ability to innovate – suggesting that enterprises need to be dedicated to up-leveling AI infrastructure and employing a strategic, proactive approach to AI workload deployment in order to harness AI's potential. Notably, nearly all respondents (93%) indicated there is a greater expectation that IT leaders in their organization minimize time-to-revenue for AI-driven IT infrastructure compared to five years ago.
However, AI infrastructure investments face significant hurdles for many organizations. Networking challenges and data center scale are leading causes of AI performance issues, with 82% of respondents having encountered a performance issue with their AI workloads in the past 12 months related to bandwidth shortages (43%), unreliable connections (41%), or difficulty scaling data center space and power (34%).
"The stakes are high for AI infrastructure investments," said
Additional key findings from Flexential's report include:
- AI receives board-level scrutiny. AI initiatives are increasingly driven by the C-suite and boards, with 53% and 46% of respondents respectively identifying these groups as the main forces behind AI adoption. This top-down pressure has increased both support and scrutiny for AI investments.
- Finding the right people for the job is difficult. 91% of respondents say they have experienced some sort of skills or staffing gap related to AI in the past 12 months, and 53% reported skills gaps or staffing shortages related to the management of specialized computing infrastructure.
- Privacy and security are a top priority. 42% of respondents whose organizations have pulled an AI workload back from public cloud said it was due to data privacy and security concerns.
- High performance requirements lead organizations to partner with experts. 51% of respondents are addressing performance issues by using third-party colocation data centers to process data closer to the edge of the network.
- Sustainability is top of mind. 94% of respondents would pay more for data centers or third-party cloud vendors to use clean or renewable energy and/or buy credits to offset their carbon footprints.
Visit flexential.com to access the full 2024 State of AI Infrastructure Report.
For more information on Flexential, visit: www.flexential.com.
About Flexential:
Flexential empowers the IT journey of the most complex businesses by offering customizable IT solutions designed for today's demanding high-density computing requirements. With colocation, cloud, connectivity, data protection, and professional services, the FlexAnywhere® platform anchors our services in 42 data centers across 19 highly connected markets on a 100Gbps private network backbone. Flexential solutions are strategically engineered to meet the most stringent challenges in security, compliance, and resiliency. Experience the power of IT flexibility and how we enable digital transformation at www.flexential.com.
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SOURCE Flexential
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