The 15th 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.
AWS has recently cut prices on a range of GPU-backed instances. These price reductions make it harder to justify an investment in dedicated AI infrastructure.
Direct liquid cooling adoption remains slow, but rising rack densities and the cost of maintaining air cooling systems may drive change. Barriers to integration include a lack of industry standards and concerns about potential system failures.
Network advisory: Sensor deployments for data-driven operations
GPU breakthroughs bring real-time CFD analysis closer
Crypto mines are turning into AI factories
REPLAY | Uptime Institute 15th Annual Global Data Center Survey Results
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RCA (Root Cause Analysis) software packages
Switched ATS Solution
I am curious what vendors that members are using for support of their Eaton Foreseer EPMS…
AI super-densification: how far will it really go?
Self-contained liquid cooling: the low-friction option
Hold the line: liquid cooling’s division of labor
AI and cooling: chilled water system topologies
AI power fluctuations strain both budgets and hardware
State governments act to control power demand
Electrical considerations with large AI compute
EU EED labeling scheme: Uptime feedback
EU energy efficiency package may slow digital growth
Malaysia manages data center growth with regulations
Europe will not abandon the hyperscalers
Ransomware incidents on OT equipment surge
Seven fallacies of data center cybersecurity
Digital twins: the role of simulations
Retail vs wholesale: finding the right colo pricing model
Unraveling the cost complexity of serverless containers
