Datacenter Dynamics2dOpinion
Optimize data center networking for AI workloads
For AI training workloads, the ideal solution is a lossless back-end network that combines high capacity and speed with low ...
The Current And Future Path To AI Inference Data Center Optimization
While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power. Optimized inference workloads that run over and over again on new data, on ...
datacenterfrontier.com5d
Data Center Power Consumption, Energy Management, and the New Energy Landscape
Vance Peterson, Solutions Architect for Schneider Electric, provides insights on how data centers can remain resilient, ...
Datacenter Dynamics7d
Dell’Oro Group predicts data center annual capex will hit $1 trillion by 2029
Analyst firm Dell’Oro Group predicts that worldwide data center annual capex will surpass $1 trillion by 2029. The sector's ...
A researcher claims Microsoft and OpenAI may have cracked multi-datacenter distributed training for their AI models based on their 'actions': "Microsoft has signe…
have heavily invested in training AI models. However, the process is watered down since it's limited to a single data center.
POWER Magazine12d
Data Centers Consume 3% of Energy in Europe: Understand Geographic Hotspots and How AI Is Reshaping Demand
The rapid rise of data centers has put many power industry demand forecasters on edge. Some predict the power-hungry nature ...