Operators and investors are planning to spend hundreds of billions of dollars on supersized sites and vast supporting infrastructures. However, increasing constraints and uncertainties will limit the scale of these build outs.
 
                
                    Over the past 15 years, Daniel has covered the business and technology of enterprise IT and infrastructure in various roles, including industry analyst and advisor. His research includes sustainability, operations, and energy efficiency within the data center, on topics like emerging battery technologies, thermal operation guidelines, and processor chip technology.
                                          dbizo@uptimeinstitute.com
                                      
Operators and investors are planning to spend hundreds of billions of dollars on supersized sites and vast supporting infrastructures. However, increasing constraints and uncertainties will limit the scale of these build outs.
The US government is applying a new set of rules to control the building of large AI clusters around the world. The application of these rules will be complex.
Uptime Intelligence surveys the data center industry landscape to look deeper at what can actually happen in 2025 and beyond based on the latest trends and developments. The stronghold that AI has on the industry is a constant discussion - but how…
Uptime Intelligence looks beyond the more obvious trends of 2025 and examines some of the latest developments and challenges shaping the data center industry.
Supersized generative AI models are placing onerous demands on both IT and facilities infrastructure. The challenge for next-generation AI infrastructure will be power, forcing operators to explore new electrification architectures.
In this inaugural Uptime Intelligence client webinar, Uptime experts discuss and answer questions on cooling technologies and strategies to address AI workloads. Uptime Intelligence client webinars are only available for Uptime Intelligence…
Generative AI is not only accelerating the adoption of liquid cooling but also its technical evolution. Partly due to runaway silicon thermal power levels, this has led to a convergence in technical development across vendors.
Many organizations still do not tap into the potential power efficiency gains hidden in servers. Without operational focus on extracting those, future server platforms may bring marginal, if any, energy performance improvements.
Schneider Electric’s acquisition of Motivair Corporation aims to fill product gaps and meet future demand — which will be good for customers if it helps to reduce industry fragmentation
AI training clusters can show rapid and large swings in power consumption. This behavior is likely driven by a combination of properties of both modern compute silicon and AI training software — and may be difficult to manage at scale.
Densification is — once again — high on the agenda, with runaway expectations largely due to compute power requirements of generative AI workloads. Will this time be different? Uptime’s 2024 global survey of data center managers offers some clues.
Most operators will be familiar with the outrageous power and cooling demands of hardware for generative AI. Why are these systems so difficult to accommodate, and what does this mean for the future of data center design?
The data center industry's largest and most influential survey results are in! Join us as we discuss the 14th Annual Uptime Global Data Center Survey 2024 which reveals an industry that is expanding, and is also planning for major technological,…
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The 14th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI.
Two-phase immersion was expected to revolutionize data center cooling but proved difficult to implement. With escalating silicon thermal power, two-phase is gaining substantial interest again, just in a different form: direct-to-chip liquid cooling.