Chinese large language model DeepSeek has shown that state of the art generative AI capability may be possible at a fraction of the cost previously thought.
Critics argue that data center water use is excessive and poorly managed.
This report highlights some of the findings from the Uptime Institute Capacity Trends and Cloud Survey 2024.
Density choices for AI training are increasingly complex
Are data center workforce initiatives effective?
The operational cost of AI training failures
REPLAY | Strategies for Powering Data Centers with Carbon Free Power
RECAP | Roundtable: Resiliency requirements for AI training deployment
REPLAY | Five Data Center Predictions for 2025
Colo provider is shifting from a total power subscription model to charging based on 80% of…
Have you used Starline bus? If so what are the advantage, disadvantages and risks you…
Sensors and data-driven operations
AI load and chiller systems: key considerations
The DeepSeek paradox: more efficiency, more infrastructure?
Are data centers to blame for power quality issues?
Small modular reactors: building critical mass
AI infrastructure ambitions will be cut down to size
Should operators continue to prepare for climate risk reporting?
Remaining EED reporting deficiencies need immediate attention
EED delegated report due early May — what's the rush?
Outage data shows cloud apps must be designed for failure
Build resilient apps: do not rely solely on cloud infrastructure
Hardware for AI: options and directions
Agentic AI shows promise — but also carries risk
US state drafts plan for data center regulations
Cloud repatriation is overstated
AI and cooling: methods and capacities
Enterprise and colocation operators face rising costs in 2025
