While the aim of FinOps is to manage just the cloud costs, technology business management seeks to aggregate all costs of IT, including data centers, servers, software and labor, to identify savings and manage return on investment.
New augmented reality and virtual reality technologies can provide effective training capabilities for data center staff but are not yet a complete substitute for in-person training.
Many organizations still do not tap into the potential power efficiency gains hidden in servers. Without operational focus on extracting those, future server platforms may bring marginal, if any, energy performance improvements.
The number of proposals for new hyperscale-size data centers have reached new heights in 2024. Those that are built will require huge investment and resources β but many proposals will fail to move forward.
Staff shortages and recruitment challenges remain the key workforce challenges facing data center owners and operators in 2024. This report highlights some of the findings from the Uptime Institute Staffing and Recruitment Survey 2024.
Enterprises have various options on how and where to deploy their AI training and inference workloads. This report explains how these different options balance cost, complexity and customization.
Data center operating and capital costs have been rising strongly in recent years β and will almost certainly continue to do so. Sooner or later, those in the IT supply chain will need to deliver their backers a return on investment.
To meet the demand driven by AI workloads, a new breed of cloud provider has emerged, delivering inexpensive GPU infrastructure as a service. Their services are highly demanded today, but longer-term, the market is ripe for consolidation.
Cybersecurity strategies often evolve organically: tools are added, requirements change, and the result is a lack of coherent structure. Cybersecurity professionals can benefit from adopting frameworks to organize these activities
Powerful solar storms have already brought warnings of disruption to electricity grids and their customers twice in 2024 β and the Sunβs activity has yet to peak. Why do data centers and power utilities appear to have escaped unscathed?
The acceleration of data center energy consumption growth projections appears to threaten sustainability objectives. Instead, it demands a reinvigoration of efforts to improve the energy efficiency of the IT infrastructure through better systemβ¦
Raising supply air temperature is drawing interest from data center providers and regulators in some countries. While saving energy, it may also reduce resiliency. This report quantifies energy impacts to clarify when it can be beneficial.
Many speculate that AI and automation might replace humans in data center jobs but there is little evidence to support this line of thought. The data center industry has characteristics that researchers believe may protect against worker displacement
While GPUs are the power-hungry devices that enable effective AI training, it is innovations in software that are fueling the recent surge in interest and investment. This report explains how neural networks power generative AI.
Historically, data center waste heat recovery has been promoted with a focus on the benefits for the heat off-taker. And yet, the overall winner in most situations is the data center operator β even if they are not paid for heat.