- Price points: 76%
- Forecasting future information middle capability necessities: 71%
- Bettering power efficiency for amenities gear: 67%
- Energy availability: 63%
- Provide chain disruptions: 65%
- A scarcity of certified workers: 67%
With respect to capability planning, there’s been a notable improve within the variety of operators who describe themselves as “very involved” about forecasting future information middle capability necessities. Andy Lawrence, Uptime’s govt director of analysis, mentioned two elements are contributing to this concern: ongoing robust development for IT demand, and the often-unpredictable demand that AI workloads are creating.
“There’s nice uncertainty about … what the influence of AI goes to be, the place it’s going to be situated, how a lot of the ability goes to be required, and even for issues like area and cooling, how a lot of the infrastructure goes to be sucked as much as assist AI, whether or not it’s in a colocation, whether or not it’s in an enterprise and even in a hyperscale facility,” Lawrence mentioned throughout a webinar sharing the survey outcomes.
The survey discovered that roughly one-third of information middle homeowners and operators at present carry out some AI coaching or inference, with considerably extra planning to take action sooner or later. Because the variety of AI-based software program deployments will increase, details about the capabilities and limitations of AI within the office is turning into obtainable. The attention can be revealing AI’s suitability for sure duties. In keeping with the report, “the information middle trade is getting into a interval of cautious adoption, testing, and validation. Knowledge facilities are sluggish and cautious in adopting new applied sciences, and AI is not going to be an exception.”
