
The developer plans an islanded campus with onsite generation, but reaching its 2027 target will require a customer, modular construction and a new power plant.
Will Prometheus secure a confirmed anchor customer for the Pecos data center by December 31?
Resolves by Dec 31, 2026
A data center developer is planning a large computing facility in Texas that would generate its own power rather than connecting to the regional electrical grid, avoiding the lengthy interconnection process. The approach requires the developer to take on responsibilities typically handled by utilities, including managing fuel supplies, permits, redundancy systems, and financing. The project depends on securing a customer commitment and using modular construction methods to meet a 2027 timeline, though the developer acknowledges these constraints make that target very challenging. This represents a test of whether private power generation can reliably support hyperscale artificial intelligence data center operations at the speed and scale the industry demands.

The 760 MW Eddystone coal plant will remain online longer as PJM faces rising data center load, generator retirements, and delayed power resources.

AI workloads push data center rack densities beyond the limits of air cooling. Three liquid cooling approaches offer different trade-offs and benefits.

Jetson Orin Nano 2 consumes less power at the same performance level of its predecessor. Source: NVIDIA As AI models become more efficient, more devices can become autonomous, but developers need compact, energy-efficient computers built for edge AI, asserted NVIDIA Corp. The company today introduced NVIDIA Jetson Orin Nano 2, a new entry-level computer for edge AI that it said enables millions of developers worldwide to build systems for physical AI applications. “Today’s small and medium front
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven