As artificial intelligence (AI) evolves, so too do the data center infrastructures that support it. Hyperscale cloud companies like Google parent Alphabet and Microsoft, along with telecom network operators, are investing billions in data centers to help support new AI technologies like ChatGPT.
Hyperscale cloud companies and telecom network operators are cutting costs
Both hyperscale cloud companies and telecom network operators are shedding thousands of employees in an effort to cut costs and buoy profits. Despite these cutbacks, there is still a need to invest in data center infrastructure to support AI technologies.
TD Cowen Financial Analysts report a robust demand for hyperscale data centers
According to financial analysts at TD Cowen, hyperscale data center leasing and forward demand pipelines remain robust. This suggests that there is a sustained need for high-performance infrastructure to support complex AI algorithms.
Demand for generative large language model technologies could increase data center investments
One of the driving factors behind the investment in data centers is the demand for generative large language model (LLM) technologies like ChatGPT. TD Cowen analysts speculate that this demand could lead to increased investment in hyperscalers’ data centers.
AI workloads require specialized infrastructure
Unlike traditional data center deployments, AI workloads run at much higher power densities. Operators highlight deals within their pipelines that run at 30-50kW per cabinet, and sometimes as high as +100kW per cabinet. This requires specialized infrastructure that can handle the high power loads necessary to operate AI-based workloads.
Alphabet CFO Underscores Importance of Investing in Support of AI
As Alphabet CFO, Ruth Porat, stated during a recent earnings call, “AI is a key component. It underlies everything that we do, and we’re continuing to invest in support of AI.” This underscores the importance of continued investment in data center infrastructure to support advanced AI technologies.
Microsoft’s CFO expects a material increase in capital expenditures for Azure AI infrastructure
Microsoft CFO, Amy Hood, also underscored the importance of continued investment in AI infrastructure during the company’s earnings call. “We expect capital expenditures to have a material sequential increase on a dollar basis, driven by investments in Azure’s AI infrastructure,” said Hood.
Data centers are increasingly housing critical networking components
As AI technologies become more mission-critical, data centers are increasingly housing critical networking components. These components require low latency and high-speed connections that allow for seamless data transfer between the data center and the end-user.
Telecom operators are eyeing AI technologies to incorporate into their businesses
Telecom operators are also eyeing AI technologies like ChatGPT to determine how to incorporate them into their businesses. The excitement around AI is creating new opportunities, and telecom operators see AI as a way to drive innovation and gain a competitive advantage in their industry.
As the excitement around AI continues to build, tech giants like Alphabet and Microsoft are investing heavily in data center infrastructure to support advanced AI technologies. This investment is driven by the need to support the high-performance computing capabilities necessary for these technologies to operate effectively. As Microsoft CEO Satya Nadella stated during the company’s earnings call, “The excitement around AI is creating new opportunities.” It is clear that those who capitalize on these opportunities will be well positioned for success in the future.
