Fact check: What are large banks of ai servers called

1. Summary of the results

Based on the analyses provided, large banks of AI servers are primarily called "data centers" ^{[1] [2] [3] [4] [5] [6]}. These facilities are also referred to as "AI factories" ^[1] and "server farms" ^[4], which are essentially giant warehouses full of computers that operate 24/7 to support artificial intelligence, cloud computing, and internet services.

The sources consistently describe these facilities as critical infrastructure for AI production and deployment ^[1], with some reaching massive scales - such as OpenAI's 300 MW data center that could potentially reach 1 gigawatt scale ^[3]. One analysis mentions "hyperscalers" as entities involved in large-scale cloud infrastructure deployments ^[7], though this term appears to refer more to the companies operating these facilities rather than the facilities themselves.

2. Missing context/alternative viewpoints

The original question lacks important context about the significant infrastructure challenges these facilities create. The analyses reveal that data centers require abundant electricity and water resources ^[5] and pose serious concerns regarding energy demand and grid stability ^[3]. They consume substantial amounts of water to cool their systems ^[6] and are coming for land, water and power resources ^[1].

There's also missing context about community resistance - local communities are rising up against massive AI data centers ^[4], indicating significant opposition to their expansion. The analyses show these facilities are being expanded across the UK despite mounting concerns ^[2] and are sprouting across the West ^[5], suggesting rapid, potentially controversial growth.

3. Potential misinformation/bias in the original statement

The original question appears neutral and factual, simply asking for terminology. However, it notably omits any mention of the environmental and social costs associated with these facilities. By framing the question purely in technical terms, it potentially minimizes the significant resource consumption and community impact issues that multiple sources highlight ^{[1] [3] [4] [5] [6]}.

The question's simplicity could inadvertently promote a sanitized view of AI infrastructure, ignoring the reality that these "banks of servers" are massive industrial facilities that threaten grid stability ^[3] and face community opposition ^[4]. This framing benefits AI companies and tech giants who prefer public focus on technical capabilities rather than infrastructure costs and environmental impact.