Cost Efficiency

Enterprise AI's ROI reckoning: budget discipline, open-weight models, and industrial acquisitions are reshaping how operators deploy

Three forces are converging in enterprise AI: tighter spending controls, cheap open-weight models, and multibillion-dollar industrial deals.

Eighty percent of U.S. factories have no automation. Here's what's holding them back

Most U.S. manufacturers believe AI is critical to their future, yet 80% of facilities run with zero automation. Execution, not belief, is where the gap lies.

Custom AI Chips Signal Segmentation for AI Teams, While NVIDIA Sets the Performance Ceiling for Cutting-Edge AI

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

Starting Small: How to Scale an Operation with Robotics

As supply chain disruptions and rising labor costs challenge the logistics sector, automation is increasingly viewed as a solution to stay competitive. Robotics, in particular, offers opportunities to enhance efficiency, but many companies hesitate due to concerns about upfront costs and scalability. According to the International Federation of Robotics, global robot installations were expected…

Harnessing North Dakota’s Natural Advantages

Michael Maniscalco, CTO of Applied Digital, highlights the company’s strategic decision to establish its initial data centers in North Dakota. By leveraging the region’s unique low-cost power and natural cooling, they not only make the training of models cost-effective due to their high power demands but also enhance environmental sustainability. He clarifies that these centers…