Engineering & Construction · Topic
Scalable Design
5 articles from Engineering & Construction practitioners
Beyond the Buttons: How to Transform Your Design System from Static Library to Cross-Functional Powerhouse
Design systems have evolved from nice-to-have documentation into critical infrastructure that determines whether digital products scale successfully or collapse under their own complexity. For web developers and digital interface designers working in computer systems, the challenge isn’t just building components—it’s architecting collaborative frameworks that accelerate development while maintaining consistency across platforms. After analyzing…
Applied Digital’s Data Center Design for a 100 MW AI Factory Built from the Ground Up
AI workloads are redefining the limits of data center design and infrastructure. Legacy data centers, built for traditional co-location, cannot handle the density, thermal demands, or power dynamics of accelerated computing. The AI boom has upended the data center sector, forcing a rapid shift to liquid-cooled racks as facilities pivot from sub-10kW racks to…
Robot Safety Is a Survival Skill—Not a Perk. Vecna Robotics Aligns People, Process, and Tech for Scalable and Safer Automation
Warehouse automation is rising sharply, with Gartner predicting that more than 75% of companies will have integrated cyber-physical systems into their operations by 2027. While this growth is driven by increasing demand for flexible, scalable fulfillment solutions, it brings new operational and robot safety challenges that traditional warehouse cultures and systems aren’t always prepared for….
Designing Sustainable and Scalable Data Centers for the AI Revolution
Building the cooling and energy infrastructure required to power the next generation of AI without breaking environmental commitments
Applied Digital’s Ellendale AI Data Center: Pioneering the Future of Accelerated AI Computing in North Dakota
A 363,000-square-foot North Dakota facility sets new standards for powering the next generation of AI workloads at massive scale