AI Data Center Renders Built From 2D Layouts in One Production Week
A US developer of AI data center infrastructure needed campus and data hall renders for presentations and marketing. We built three scenes from site layouts and equipment drawings in seven days.
Client & Market Context
A US Developer Building AI Data Center Capacity
Our client develops and builds infrastructure for AI data centers in the United States, including modular AI pods that house high-density compute. With more sites planned, the company needed 3D renders of its first campus that could show investors and partners what the facility would look like before anything was built.
Turning Layouts and Equipment Schematics Into Believable Facilities
The main challenge of this AI data center visualization project was that nothing existed yet except technical documents. The client supplied a site layout, an AI pod drawing and cooling-equipment schematics, and needed marketing-grade images of the campus, the data hall and the pod interior within a week.
Visual Results
The Finished AI Data Center Image Set
The final set moves from site scale to rack scale: the campus in its landscape, the data hall with modular pods, and the view inside a single pod.
Free guide: 38 renders took three meetings, and seven views would have done it
Before a space like the one above gets built, it has to get past a room of people: a board, a brand team, a landlord, sometimes planning. Most commercial rendering orders ignore who is in that room, and our priced composite ran to 38 images, three meetings and $25,918. The guide shows the seven views that answer each of them, for $3,100, and the short brief to send us.
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Results & Business Impact
- 3
scenes: campus aerial, data hall and AI pod interior
- 7days
from the kickoff call to the final images
- 0
site photos or existing 3D models needed to start
- 4
client documents used as the source of truth for geometry
For a data center that exists only on paper, drawing-accurate CGI is what lets investors and partners see the facility early.
FAQ
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