The topic of direct current (DC) power distribution in data centers is back, and this time it may be different.
Although media coverage suggests data center buildout is accelerating, recent announcements and construction data paint a different picture — and suggest momentum may be slowing.
Water treatment and chemicals giant Ecolab has agreed to pay $4.75 billion in cash for Canadian DLC specialist CoolIT. It is the latest sign of unabated demand for AI compute.
Increasing community opposition to data center development is compelling hyperscalers to rethink their decades-old practices.
The data center industry is facing a critical staffing crisis, yet traditional recruitment and retention efforts are falling short. Join us this International Data Center Day (25 March) for a deep dive into the evolving workforce landscape.We'll…
Enterprises deploying AI inference need to choose carefully to limit costs and protect their data.
Even before data center operators move to higher voltages, rising power densities are increasing the risks faced by electricians.
Your data center investment may achieve high availability, but a single cyber incident can render that investment meaningless. This webinar explores why all data center facilities need a structured cybersecurity management program alongside their…
Growing public opposition to data center development has pushed many data center companies to invest in media and promotional campaigns. But, as opposition intensifies, this type of outreach is unlikely to sway public opinion.
Delays in grid interconnection continue to slow data center development. "Bring your own power" and demand flexibility are presented as ways to accelerate access to power and meet two to three year deployment targets. We'll briefly discuss the…
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.
PUE measures facility energy overhead relative to IT load, but it does not show how much of a site's provisioned power envelope ultimately reaches IT. Power and compute effectiveness (PCE) introduces a metric that makes this allocation visible.
Some countries are attempting to create capacity headroom for new facilities by applying efficiency limits to existing data centers. In Singapore, reducing PUE will be expensive for operators.
Net-zero commitments are becoming more common across the data center industry, but power demand growth and stricter carbon accounting rules are reshaping expectations.
Daniel Bizo
Peter Judge
Matt Hawkins
Rose Weinschenk
Max Smolaks
Antonio Ramos
Lanre Rotimi
Andy Lawrence
Jay Dietrich
Dr. Owen Rogers
Dr. Rand Talib
Douglas Donnellan