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.
Choosing whether to train a model from scratch or fine-tune an existing one comes down to the use case and cost — with hardware utilization remaining an important cost factor.
Water treatment and chemicals giant Ecolab has agreed to pay $4.75 billion in cash for Canadian DLC specialist CoolIT. It is the latest sign of unabated demand for AI compute.
Enterprises deploying AI inference need to choose carefully to limit costs and protect their data.
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.
Results from Uptime Institute's 2026 AI Infrastructure Survey (n=1,141) focus on the data center infrastructure currently used or being planned to use to host AI Training and AI Inference, as well as future industry outlooks on the usage of AI. The…
Surging demand for AI data centers is driving a shift to on-site natural gas power, even though operators admit this will delay the achievement of net-zero goals.
As AI adoption spreads, most data centers will not host large training clusters — but many will need to operate specialized systems to run inferencing close to applications.
Elon Musk's merger of his SpaceX aerospace company with his AI firm xAI has relit the thrusters under the concept of building big data centers in space. However, the technical difficulties involved may ultimately thwart his ambitions.
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.
Investment in large-scale AI has accelerated the development of electrical equipment, which creates opportunities for data center designers and operators to rethink power architectures.
Data from Uptime Intelligence's giant data center analysis indicates that proposed power capacity and investment tied to giant data centers and campuses are at unprecedented levels.North America represents 80% of all planned power identifed in 2025…
DLC was developed to handle high heat loads from densified IT. True mainstream DLC adoption remains elusive; it still awaits design refinements to address outstanding operational issues for mission-critical applications.
Uptime Intelligence looks beyond the more obvious trends of 2026 and examines some of the latest developments and challenges shaping the data center industry.
Dr. Owen Rogers
Daniel Bizo
Max Smolaks
Paul Carton
Anthony Sbarra
Laurie Williams
Peter Judge
Andy Lawrence
John O'Brien
Jacqueline Davis
Jay Dietrich
Douglas Donnellan
Dr. Rand Talib