Choosing whether to train a model from scratch or fine-tune an existing one comes down to the use case and cost - with hardware utilization remaining an important cost factor.
While water cold plates continue to dominate current liquid-cooling adoption, the industry has also turned its attention to different approaches, with two-phase cold plates in particular becoming a promising alternative.
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.
Interactive AI training costing tool
Draft EED delegated regulation sidesteps critical issues
Vendors gearing up for 800V DC adoption
Copper is becoming a systems constraint, not just a commodity issue
RTO and MTTR for data center facilities and equipment
Optimizing Sites for Human Performance and Staff Success
What’s your position on Spare Parts Management as-a-Service?
Addressing the data center heat recovery contradiction
Conserving diesel - any tips?
CoolIT sale signals strong pipeline for DLC orders
Enterprises will deploy inference in-house — if they can
The struggle between AI and net-zero is becoming visible
Next-gen GPUs may not need chillers — but data centers do
Liquid cooling will not outgrow its high-density niche
Coolant distribution units can complicate commissioning
Ireland's new grid rules signal shift in data center roles
New power architectures to reshape data center design
Giant data center power plans reach extreme levels
Rising densities pose hidden risks for electricians
Resiliency will be re-examined, but few will compromise
EU power providers urged to protect grids from data centers
US capacity growth stumbled in 2025: what happened?
Capacity allocation and the next generation of AI-era KPIs
IT power thresholds can incentivize server inefficiency
