The cost of AI training varies depending on underlying infrastructure and the training approach adopted. This web tool calculates training times and workload infrastructure costs based on configurable data center, infrastructure and model attributes.
Although cloud platforms often offer the lowest cost for AI inference, on-premises deployment may be preferable due to application architecture, data locality and control requirements.
The cost of AI inference varies widely depending on deployment model, utilization and hardware. This costing tool compares on-premises, colocation and managed AI platforms on a like-for-like basis.
In 2026, enterprises will be more realistic about their use of generative AI, prioritizing simple use cases that deliver clear, timely value over those more innovative projects where returns — and successful outcomes — are less assured.
AI workloads are driving a fundamental shift in data center design and operations. Higher power densities, new cooling paradigms (direct liquid cooling and immersion), more aggressive serviceability requirements, and a rapidly evolving vendor and…
Uptime Institute's latest Data Center Spending Survey (n=850) looks ahead to data center spending and budgets for 2026, as well as the current supply chain market in the industry.The attached data files below provide full results of the survey,…
AI training can strain power distribution systems and shorten hardware life - especially in data centers not built for dynamic workloads. Many operators may be underestimating these risks during design and capacity planning.
Most data center operators plan to spend more in 2025 than the previous year. However, spending strategies vary widely between enterprises and colocation providers, and each faces its own risks from supply chain issues. Results from the Uptime…
Uptime Institute's 2024 Data Center and IT Spending and Supply Chain Survey (n=878) focuses on data center spending and budgets, as well as plans going forward and data center supply chains.The attached data files below provide full results of the…
While the aim of FinOps is to manage just the cloud costs, technology business management seeks to aggregate all costs of IT, including data centers, servers, software and labor, to identify savings and manage return on investment.
Data center operating and capital costs have been rising strongly in recent years - and will almost certainly continue to do so. Sooner or later, those in the IT supply chain will need to deliver their backers a return on investment.
Results from the Uptime Institute Supply Chain Survey 2023 reveal that data center owners and operators are continuing to suffer supply chain delays, but these appear to be less frequent and severe than in 2022.
Data center capacities are expanding rapidly, and organizations are increasingly using hybrid IT to meet rising demand. However, the growing complexity of IT environments is exposing limitations to current approaches.
Large colocation and public cloud companies have been growing strongly and very publicly, but enterprises continue to add data center capacity too, Uptime Intelligence data shows.
This report explains the nuances of using energy consumption, energy attribute certificates and emissions factor data to calculate the use of renewable energy and carbon-free energy, and a Scope 1 and 2 emissions inventory.
Dr. Owen Rogers
Madeleine Kudritzki
Chris Brown
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Paul Carton
Anthony Sbarra
Laurie Williams
Douglas Donnellan
Andy Lawrence
Rose Weinschenk
John O'Brien
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