Gartner outlines sector roadblocks
Investment in data centres, particularly AI data centres, remains economically viable and attractive, according to Gartner.
Investment in data centres, particularly artificial intelligence (AI) data centres, remains economically viable and attractive, but it must be evaluated in the context of three fundamental constraints, says Gartner Inc, a business and technology insights company.The first constraint is the availability and cost of key components, especially AI-optimised servers such as graphics processing units, said Linglan Wang, director analyst at Gartner.
These servers are the core engines of AI data centres and represent the largest share of capital expenditure. Their supply is tight, which can significantly impact both timelines and costs, she said.
The second constraint is the cost and complexity of building data centre infrastructure, which includes land acquisition, construction, power connectivity and supporting systems. As data centres scale up to support AI workloads, they become more capital-intensive and technically complex to deploy.
