While water cold plates continue to dominate current liquid-cooling adoption, the industry has also turned its attention to different approaches, with two-phase cold plates in particular becoming a promising alternative.
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.
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…
Growing workload demand continued to drive capacity growth in 2025 for both enterprise and colocation companies. Although colocation growth remained strong overall, more colocation operators reported reaching a plateau than in 2024.Fewer enterprise…
The shortage of DRAM and NAND chips caused by demands of AI data centers is likely to last into 2027, making every server more expensive.
Nvidia CEO Jensen Huang's comment that liquid-cooled AI racks will need no chillers created some turbulence — however, the concept of a chiller-free data center is an old one and is unlikely to suit most operators.
Cloud sovereignty is often treated as binary choice, but, in reality, it is a spectrum shaped by law, operations, technologies and supply chains. This framework explains the differences between sovereign public cloud options.
Cybercriminals increasingly target supply chains as entry points for coordinated attacks; however, many vulnerabilities have been overlooked by operators and persist, despite their growing risk and severity.
Uptime Intelligence's predictions for 2025 are revisited and reassessed with the benefit of hindsight.
Uptime Institute's 2025 Service Providers and Capacity Survey (n=872) benchmarks the industry in the areas of public cloud, capacity in owned data centers, and capacity in colocation facilities.The attached data files below provide full results of…
Data4 needed to test how to build and commission liquid-cooled high-capacity racks before offering them to customers. The operator used a proof-of-concept test to develop an industrialized version, which is now in commercial operation.
Currently, the most straightforward way to support DLC loads in many data centers is to use existing air-cooling infrastructure combined with air-cooled CDUs.
Jacqueline Davis
Daniel Bizo
Dr. Owen Rogers
Max Smolaks
Paul Carton
Anthony Sbarra
Laurie Williams
Rose Weinschenk
John O'Brien
Andy Lawrence
Peter Judge